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Thomas Hain
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- affiliation: University of Sheffield, England, UK
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2020 – today
- 2024
- [c170]Chanho Park, Mingjie Chen, Thomas Hain:
Automatic Speech Recognition System-Independent Word Error Rate Estimation. LREC/COLING 2024: 1979-1987 - [c169]Amit Meghanani, Thomas Hain:
Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations. EACL (1) 2024: 1959-1967 - [c168]Rhiannon Mogridge, George Close, Robert Sutherland, Thomas Hain, Jon Barker, Stefan Goetze, Anton Ragni:
Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users Using Intermediate ASR Features and Human Memory Models. ICASSP 2024: 306-310 - [c167]George Close, William Ravenscroft, Thomas Hain, Stefan Goetze:
Multi-CMGAN+/+: Leveraging Multi-Objective Speech Quality Metric Prediction for Speech Enhancement. ICASSP 2024: 351-355 - [c166]Rehan Ahmad, Muhammad Umar Farooq, Thomas Hain:
Progressive Unsupervised Domain Adaptation for ASR Using Ensemble Models and Multi-Stage Training. ICASSP 2024: 11466-11470 - [c165]William Ravenscroft, Stefan Goetze, Thomas Hain:
Combining Conformer and Dual-Path-Transformer Networks for Single Channel Noisy Reverberant Speech Separation. ICASSP 2024: 11491-11495 - [c164]Amit Meghanani, Thomas Hain:
SCORE: Self-Supervised Correspondence Fine-Tuning for Improved Content Representations. ICASSP 2024: 12086-12090 - [c163]Mingjie Chen, Hezhao Zhang, Yuanchao Li, Jiachen Luo, Wen Wu, Ziyang Ma, Peter Bell, Catherine Lai, Joshua D. Reiss, Lin Wang, Philip C. Woodland, Xie Chen, Huy Phan, Thomas Hain
:
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem. Odyssey 2024: 260-265 - [i53]Rhiannon Mogridge, George Close, Robert Sutherland, Thomas Hain
, Jon Barker, Stefan Goetze
, Anton Ragni:
Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users using Intermediate ASR Features and Human Memory Models. CoRR abs/2401.13611 (2024) - [i52]Amit Meghanani, Thomas Hain
:
SCORE: Self-supervised Correspondence Fine-tuning for Improved Content Representations. CoRR abs/2403.06260 (2024) - [i51]Amit Meghanani, Thomas Hain
:
Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations. CoRR abs/2403.08738 (2024) - [i50]George Close
, Thomas Hain
, Stefan Goetze
:
Hallucination in Perceptual Metric-Driven Speech Enhancement Networks. CoRR abs/2403.11732 (2024) - [i49]Chanho Park, Mingjie Chen, Thomas Hain:
Automatic Speech Recognition System-Independent Word Error Rate Estimation. CoRR abs/2404.16743 (2024) - [i48]Mingjie Chen, Hezhao Zhang, Yuanchao Li, Jiachen Luo, Wen Wu, Ziyang Ma, Peter Bell, Catherine Lai, Joshua D. Reiss, Lin Wang, Philip C. Woodland, Xie Chen, Huy Phan, Thomas Hain:
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem. CoRR abs/2405.20064 (2024) - [i47]Ziyang Ma, Mingjie Chen, Hezhao Zhang, Zhisheng Zheng, Wenxi Chen, Xiquan Li, Jiaxin Ye, Xie Chen, Thomas Hain:
EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark. CoRR abs/2406.07162 (2024) - [i46]William Ravenscroft, George Close, Stefan Goetze, Thomas Hain, Mohammad Soleymanpour, Anurag Chowdhury, Mark C. Fuhs:
Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition. CoRR abs/2406.08914 (2024) - [i45]Amit Meghanani, Thomas Hain
:
LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks. CoRR abs/2406.09153 (2024) - [i44]Cong-Thanh Do, Shuhei Imai, Rama Doddipatla, Thomas Hain:
Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis. CoRR abs/2407.04047 (2024) - 2023
- [c162]Muhammad Umar Farooq, Rehan Ahmad, Thomas Hain
:
MUST: A Multilingual Student-Teacher Learning Approach for Low-Resource Speech Recognition. ASRU 2023: 1-6 - [c161]Elaf Islam, Thomas Hain
, Protima Nomo Sudro:
Simulation of Teacher-Learner Interaction in English Language Pronunciation Learning. ASRU 2023: 1-6 - [c160]Amit Meghanani, Thomas Hain
:
Deriving Translational Acoustic Sub-Word Embeddings. ASRU 2023: 1-8 - [c159]William Ravenscroft, Stefan Goetze
, Thomas Hain
:
On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments. ASRU 2023: 1-7 - [c158]Protima Nomo Sudro, Anton Ragni, Thomas Hain
:
Adapting Pretrained Models for Adult to Child Voice Conversion. EUSIPCO 2023: 271-275 - [c157]William Ravenscroft, Stefan Goetze
, Thomas Hain
:
On Data Sampling Strategies for Training Neural Network Speech Separation Models. EUSIPCO 2023: 331-335 - [c156]Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
:
Probing Statistical Representations for End-to-End ASR. EUSIPCO 2023: 401-405 - [c155]Rehan Ahmad, Md Asif Jalal, Muhammad Umar Farooq
, Anna Ollerenshaw, Thomas Hain
:
Towards Domain Generalisation in ASR with Elitist Sampling and Ensemble Knowledge Distillation. ICASSP 2023: 1-5 - [c154]George Close
, William Ravenscroft
, Thomas Hain
, Stefan Goetze
:
Perceive and Predict: Self-Supervised Speech Representation Based Loss Functions for Speech Enhancement. ICASSP 2023: 1-5 - [c153]William Ravenscroft
, Stefan Goetze
, Thomas Hain
:
Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation. ICASSP 2023: 1-5 - [c152]Cong-Thanh Do, Rama Doddipatla
, Mohan Li, Thomas Hain
:
Domain Adaptive Self-supervised Training of Automatic Speech Recognition. INTERSPEECH 2023: 4389-4393 - [c151]Muhammad Umar Farooq
, Thomas Hain
:
Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition. INTERSPEECH 2023: 5072-5076 - [c150]Elaf Islam, Chanho Park
, Thomas Hain
:
Exploring Speech Representations for Proficiency Assessment in Language Learning. SLaTE 2023: 151-155 - [c149]George Close
, Thomas Hain
, Stefan Goetze
:
The Effect of Spoken Language on Speech Enhancement Using Self-Supervised Speech Representation Loss Functions. WASPAA 2023: 1-5 - [i43]George Close
, William Ravenscroft
, Thomas Hain
, Stefan Goetze
:
Perceive and predict: self-supervised speech representation based loss functions for speech enhancement. CoRR abs/2301.04388 (2023) - [i42]Rehan Ahmad, Md Asif Jalal, Muhammad Umar Farooq, Anna Ollerenshaw, Thomas Hain
:
Towards domain generalisation in ASR with elitist sampling and ensemble knowledge distillation. CoRR abs/2303.00550 (2023) - [i41]William Ravenscroft
, Stefan Goetze
, Thomas Hain
:
On Data Sampling Strategies for Training Neural Network Speech Separation Models. CoRR abs/2304.07142 (2023) - [i40]Muhammad Umar Farooq, Thomas Hain
:
Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition. CoRR abs/2306.08577 (2023) - [i39]Anna Ollerenshaw, Md Asif Jalal, Rosanna Milner, Thomas Hain
:
Empirical Interpretation of the Relationship Between Speech Acoustic Context and Emotion Recognition. CoRR abs/2306.17500 (2023) - [i38]George Close
, Thomas Hain
, Stefan Goetze
:
Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations. CoRR abs/2307.13423 (2023) - [i37]George Close
, Thomas Hain
, Stefan Goetze
:
The Effect of Spoken Language on Speech Enhancement using Self-Supervised Speech Representation Loss Functions. CoRR abs/2307.14502 (2023) - [i36]William Ravenscroft
, Stefan Goetze
, Thomas Hain
:
On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments. CoRR abs/2310.06125 (2023) - [i35]Chanho Park, Chengsong Lu, Mingjie Chen, Thomas Hain:
Fast Word Error Rate Estimation Using Self-Supervised Representations For Speech And Text. CoRR abs/2310.08225 (2023) - [i34]Muhammad Umar Farooq, Rehan Ahmad, Thomas Hain:
MUST: A Multilingual Student-Teacher Learning approach for low-resource speech recognition. CoRR abs/2310.18865 (2023) - [i33]George Close
, William Ravenscroft, Thomas Hain
, Stefan Goetze
:
Multi-CMGAN+/+: Leveraging Multi-Objective Speech Quality Metric Prediction for Speech Enhancement. CoRR abs/2312.08979 (2023) - 2022
- [j16]Madina Hasan, Nicholas Jefferson, Thomas Hain
, Jeremy Dawson
:
Automatic detection of behavioural codes in team interactions. Comput. Speech Lang. 74: 101339 (2022) - [c148]William Ravenscroft, Stefan Goetze, Thomas Hain:
Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation. EUSIPCO 2022: 80-84 - [c147]George Close, Thomas Hain, Stefan Goetze:
MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data. EUSIPCO 2022: 165-169 - [c146]Anna Ollerenshaw, Md Asif Jalal, Thomas Hain:
Insights of Neural Representations in Multi-Banded and Multi-Channel Convolutional Transformers for End-to-End ASR. EUSIPCO 2022: 434-438 - [c145]Jose Antonio Lopez Saenz, Thomas Hain
:
A Model for Assessor Bias in Automatic Pronunciation Assessment. ICASSP 2022: 7267-7271 - [c144]Chanho Park
, Rehan Ahmad
, Thomas Hain
:
Unsupervised Data Selection for Speech Recognition with Contrastive Loss Ratios. ICASSP 2022: 8587-8591 - [c143]George Close
, Samuel Hollands
, Stefan Goetze
, Thomas Hain
:
Non-intrusive Speech Intelligibility Metric Prediction for Hearing Impaired Individuals. INTERSPEECH 2022: 3483-3487 - [c142]Muhammad Umar Farooq, Thomas Hain
:
Investigating the Impact of Crosslingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition. INTERSPEECH 2022: 3849-3853 - [c141]Muhammad Umar Farooq, Darshan Adiga Haniya Narayana, Thomas Hain
:
Non-Linear Pairwise Language Mappings for Low-Resource Multilingual Acoustic Model Fusion. INTERSPEECH 2022: 4850-4854 - [c140]William Ravenscroft
, Stefan Goetze
, Thomas Hain
:
Utterance Weighted Multi-Dilation Temporal Convolutional Networks for Monaural Speech Dereverberation. IWAENC 2022: 1-5 - [i32]George Close
, Thomas Hain
, Stefan Goetze
:
MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data. CoRR abs/2203.12369 (2022) - [i31]William Ravenscroft
, Stefan Goetze
, Thomas Hain
:
Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation. CoRR abs/2204.06439 (2022) - [i30]William Ravenscroft
, Stefan Goetze
, Thomas Hain
:
Utterance Weighted Multi-Dilation Temporal Convolutional Networks for Monaural Speech Dereverberation. CoRR abs/2205.08455 (2022) - [i29]Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
:
Insights on Neural Representations for End-to-End Speech Recognition. CoRR abs/2205.09456 (2022) - [i28]Rosanna Milner
, Md Asif Jalal, Raymond W. M. Ng, Thomas Hain
:
A cross-corpus study on speech emotion recognition. CoRR abs/2207.02104 (2022) - [i27]Muhammad Umar Farooq, Thomas Hain:
Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition. CoRR abs/2207.03390 (2022) - [i26]Muhammad Umar Farooq, Darshan Adiga Haniya Narayana, Thomas Hain
:
Non-Linear Pairwise Language Mappings for Low-Resource Multilingual Acoustic Model Fusion. CoRR abs/2207.03391 (2022) - [i25]Chanho Park
, Rehan Ahmad, Thomas Hain
:
Unsupervised data selection for Speech Recognition with contrastive loss ratios. CoRR abs/2207.12028 (2022) - [i24]William Ravenscroft
, Stefan Goetze
, Thomas Hain
:
Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation. CoRR abs/2210.15305 (2022) - [i23]Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
:
Probing Statistical Representations For End-To-End ASR. CoRR abs/2211.01993 (2022) - [i22]Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
:
Dynamic Kernels and Channel Attention with Multi-Layer Embedding Aggregation for Speaker Verification. CoRR abs/2211.02000 (2022) - 2021
- [j15]Asmaa El Hannani
, Rahhal Errattahi
, Fatima Zahra Salmam, Thomas Hain
, Hassan Ouahmane:
Evaluation of the effectiveness and efficiency of state-of-the-art features and models for automatic speech recognition error detection. J. Big Data 8(1): 5 (2021) - [j14]Yanpei Shi
, Qiang Huang, Thomas Hain
:
H-VECTORS: Improving the robustness in utterance-level speaker embeddings using a hierarchical attention model. Neural Networks 142: 329-339 (2021) - [c139]Korbinian Friedl, Georgios Rizos, Lukas Stappen, Madina Hasan, Lucia Specia, Thomas Hain
, Björn W. Schuller:
Uncertainty Aware Review Hallucination for Science Article Classification. ACL/IJCNLP (Findings) 2021: 5004-5009 - [c138]Jose Antonio Lopez Saenz, Md Asif Jalal, Rosanna Milner
, Thomas Hain
:
Attention Based Model for Segmental Pronunciation Error Detection. ASRU 2021: 725-732 - [c137]Mingjie Chen, Yanpei Shi, Thomas Hain
:
Towards Low-Resource Stargan Voice Conversion Using Weight Adaptive Instance Normalization. ICASSP 2021: 5949-5953 - [c136]Qiang Huang, Thomas Hain
:
Improving Audio Anomalies Recognition Using Temporal Convolutional Attention Networks. ICASSP 2021: 6473-6477 - [c135]Cong-Thanh Do, Rama Doddipatla
, Thomas Hain
:
Multiple-Hypothesis CTC-Based Semi-Supervised Adaptation of End-to-End Speech Recognition. ICASSP 2021: 6978-6982 - [c134]Anna Ollerenshaw
, Md. Asif Jalal, Thomas Hain
:
Insights on Neural Representations for End-to-End Speech Recognition. Interspeech 2021: 4079-4083 - [c133]Shengjie Huang, Mingjie Chen, Yanyan Xu, Dengfeng Ke, Thomas Hain
:
WINVC: One-Shot Voice Conversion with Weight Adaptive Instance Normalization. PRICAI (2) 2021: 559-573 - [c132]Jose Antonio Lopez Saenz
, Thomas Hain
:
Use of Speaker Metadata for Improving Automatic Pronunciation Assessment. SLSP 2021: 61-72 - [c131]Yanpei Shi, Thomas Hain
:
Contextual Joint Factor Acoustic Embeddings. SLT 2021: 750-757 - [c130]Yanpei Shi, Thomas Hain
:
Supervised Speaker Embedding De-Mixing in Two-Speaker Environment. SLT 2021: 758-765 - [i21]Cong-Thanh Do, Rama Doddipatla, Thomas Hain
:
Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition. CoRR abs/2103.15515 (2021) - 2020
- [c129]Cong-Thanh Do, Shucong Zhang, Thomas Hain
:
Selective Adaptation of End-to-End Speech Recognition using Hybrid CTC/Attention Architecture for Noise Robustness. EUSIPCO 2020: 321-325 - [c128]Yanpei Shi, Qiang Huang, Thomas Hain
:
H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model. ICASSP 2020: 7579-7583 - [c127]Yanpei Shi, Qiang Huang, Thomas Hain
:
Speaker Re-Identification with Speaker Dependent Speech Enhancement. INTERSPEECH 2020: 1530-1534 - [c126]Lukas Stappen, Georgios Rizos, Madina Hasan, Thomas Hain
, Björn W. Schuller:
Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus. INTERSPEECH 2020: 1808-1812 - [c125]Yanpei Shi, Qiang Huang, Thomas Hain
:
Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification. INTERSPEECH 2020: 2992-2996 - [c124]Md Asif Jalal, Rosanna Milner
, Thomas Hain
, Roger K. Moore
:
Removing Bias with Residual Mixture of Multi-View Attention for Speech Emotion Recognition. INTERSPEECH 2020: 4084-4088 - [c123]Md. Asif Jalal, Rosanna Milner
, Thomas Hain
:
Empirical Interpretation of Speech Emotion Perception with Attention Based Model for Speech Emotion Recognition. INTERSPEECH 2020: 4113-4117 - [c122]Qiang Huang, Thomas Hain
:
Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models. INTERSPEECH 2020: 4611-4615 - [c121]Hardik B. Sailor
, Thomas Hain
:
Multilingual Speech Recognition Using Language-Specific Phoneme Recognition as Auxiliary Task for Indian Languages. INTERSPEECH 2020: 4756-4760 - [c120]Mingjie Chen, Thomas Hain
:
Unsupervised Acoustic Unit Representation Learning for Voice Conversion Using WaveNet Auto-Encoders. INTERSPEECH 2020: 4866-4870 - [c119]Yanpei Shi, Qiang Huang, Thomas Hain
:
Robust Speaker Recognition Using Speech Enhancement And Attention Model. Odyssey 2020: 451-458 - [i20]Yanpei Shi, Qiang Huang, Thomas Hain:
Robust Speaker Recognition Using Speech Enhancement And Attention Model. CoRR abs/2001.05031 (2020) - [i19]Yanpei Shi, Thomas Hain:
Supervised Speaker Embedding De-Mixing in Two-Speaker Environment. CoRR abs/2001.06397 (2020) - [i18]Yanpei Shi, Qiang Huang, Thomas Hain:
Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification. CoRR abs/2005.07817 (2020) - [i17]Yanpei Shi, Qiang Huang, Thomas Hain:
Speaker Re-identification with Speaker Dependent Speech Enhancement. CoRR abs/2005.07818 (2020) - [i16]Qiang Huang, Thomas Hain:
Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models. CoRR abs/2005.08053 (2020) - [i15]Mingjie Chen, Thomas Hain:
Unsupervised Acoustic Unit Representation Learning for Voice Conversion using WaveNet Auto-encoders. CoRR abs/2008.06892 (2020) - [i14]Qiang Huang, Thomas Hain:
Improving Audio Anomalies Recognition Using Temporal Convolutional Attention Network. CoRR abs/2010.11286 (2020) - [i13]Mingjie Chen, Yanpei Shi, Thomas Hain:
Towards Low-Resource StarGAN Voice Conversion using Weight Adaptive Instance Normalization. CoRR abs/2010.11646 (2020) - [i12]Yanpei Shi, Mingjie Chen, Qiang Huang, Thomas Hain:
T-vectors: Weakly Supervised Speaker Identification Using Hierarchical Transformer Model. CoRR abs/2010.16071 (2020)
2010 – 2019
- 2019
- [j13]Rahhal Errattahi
, Asmaa El Hannani
, Thomas Hain
, Hassan Ouahmane:
System-independent ASR error detection and classification using Recurrent Neural Network. Comput. Speech Lang. 55: 187-199 (2019) - [j12]Salil Deena
, Madina Hasan, Mortaza Doulaty
, Oscar Saz, Thomas Hain
:
Recurrent Neural Network Language Model Adaptation for Multi-Genre Broadcast Speech Recognition and Alignment. IEEE ACM Trans. Audio Speech Lang. Process. 27(3): 572-582 (2019) - [c118]Rosanna Milner
, Md Asif Jalal, Raymond W. M. Ng, Thomas Hain
:
A Cross-Corpus Study on Speech Emotion Recognition. ASRU 2019: 304-311 - [c117]Md Asif Jalal, Roger K. Moore
, Thomas Hain
:
Spatio-Temporal Context Modelling for Speech Emotion Classification. ASRU 2019: 853-859 - [c116]Hardik B. Sailor
, Salil Deena, Md Asif Jalal, Rasa Lileikyte, Thomas Hain
:
Unsupervised Adaptation of Acoustic Models for ASR Using Utterance-Level Embeddings from Squeeze and Excitation Networks. ASRU 2019: 980-987 - [c115]Qiang Huang, Thomas Hain
:
Detecting Mismatch Between Speech and Transcription Using Cross-Modal Attention. INTERSPEECH 2019: 584-588 - [c114]Md Asif Jalal, Erfan Loweimi
, Roger K. Moore
, Thomas Hain
:
Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition. INTERSPEECH 2019: 1701-1705 - [c113]Mortaza Doulaty, Thomas Hain
:
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition. INTERSPEECH 2019: 3228-3232 - [i11]Mortaza Doulaty, Thomas Hain:
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition. CoRR abs/1907.01302 (2019) - [i10]Yanpei Shi, Qiang Huang, Thomas Hain:
Improving Robustness In Speaker Identification Using A Two-Stage Attention Model. CoRR abs/1909.11200 (2019) - [i9]Yanpei Shi, Qiang Huang, Thomas Hain:
Contextual Joint Factor Acoustic Embeddings. CoRR abs/1910.07601 (2019) - [i8]Yanpei Shi, Qiang Huang, Thomas Hain:
H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model. CoRR abs/1910.07900 (2019) - 2018
- [j11]Oscar Saz, Salil Deena
, Mortaza Doulaty, Madina Hasan, Bilal Khaliq, Rosanna Milner
, Raymond W. M. Ng, Julia Olcoz, Thomas Hain
:
Lightly supervised alignment of subtitles on multi-genre broadcasts. Multim. Tools Appl. 77(23): 30533-30550 (2018) - [c112]Rahhal Errattahi
, Asmaa El Hannani
, Thomas Hain
, Hassan Ouahmane:
Towards a generic approach for automatic speech recognition error detection and classification. ATSIP 2018: 1-6 - [c111]Erfan Loweimi
, Jon Barker, Thomas Hain
:
Exploring the Use of Group Delay for Generalised VTS Based Noise Compensation. ICASSP 2018: 4824-4828 - [c110]Erfan Loweimi
, Jon Barker, Thomas Hain
:
On the Usefulness of the Speech Phase Spectrum for Pitch Extraction. INTERSPEECH 2018: 696-700 - [c109]Mauro Nicolao
, Michiel Sanders, Thomas Hain
:
Improved Acoustic Modelling for Automatic Literacy Assessment of Children. INTERSPEECH 2018: 1666-1670 - [c108]Rahhal Errattahi
, Salil Deena, Asmaa El Hannani
, Hassan Ouahmane, Thomas Hain
:
Improving ASR Error Detection with RNNLM Adaptation. SLT 2018: 190-196 - 2017
- [j10]Oscar Saz, Thomas Hain
:
Acoustic adaptation to dynamic background conditions with asynchronous transformations. Comput. Speech Lang. 41: 180-194 (2017) - [j9]Raymond W. M. Ng, Mauro Nicolao
, Thomas Hain
:
Unsupervised crosslingual adaptation of tokenisers for spoken language recognition. Comput. Speech Lang. 46: 327-342 (2017) - [c107]Salil Deena, Raymond W. M. Ng, Pranava Swaroop Madhyastha
, Lucia Specia, Thomas Hain
:
Exploring the use of acoustic embeddings in neural machine translation. ASRU 2017: 450-457 - [c106]Rosanna Milner
, Thomas Hain
:
DNN approach to speaker diarisation using speaker channels. ICASSP 2017: 4925-4929 - [c105]Erfan Loweimi
, Jon Barker, Thomas Hain
:
Statistical normalisation of phase-based feature representation for robust speech recognition. ICASSP 2017: 5310-5314 - [c104]Raymond W. M. Ng, Alvin C. M. Kwan, Tan Lee
, Thomas Hain
:
Shefce: A Cantonese-English bilingual speech corpus for pronunciation assessment. ICASSP 2017: 5825-5829 - [c103]Erfan Loweimi
, Jon Barker, Oscar Saz-Torralba, Thomas Hain
:
Robust Source-Filter Separation of Speech Signal in the Phase Domain. INTERSPEECH 2017: 414-418 - [c102]Erfan Loweimi
, Jon Barker, Thomas Hain
:
Channel Compensation in the Generalised Vector Taylor Series Approach to Robust ASR. INTERSPEECH 2017: 2466-2470 - [c101]Salil Deena, Raymond W. M. Ng, Pranava Swaroop Madhyastha
, Lucia Specia, Thomas Hain
:
Semi-Supervised Adaptation of RNNLMs by Fine-Tuning with Domain-Specific Auxiliary Features. INTERSPEECH 2017: 2715-2719 - [c100]Chenhao Wu, Raymond W. M. Ng, Oscar Saz-Torralba, Thomas Hain
:
Analysing acoustic model changes for active learning in automatic speech recognition. IWSSIP 2017: 1-5 - 2016
- [c99]Rahhal Errattahi
, Asmaa El Hannani
, Hassan Ouahmane, Thomas Hain
:
Automatic speech recognition errors detection using supervised learning techniques. AICCSA 2016: 1-6 - [c98]Rosanna Milner
, Thomas Hain
:
Segment-oriented evaluation of speaker diarisation performance. ICASSP 2016: 5460-5464 - [c97]Raymond W. M. Ng
, Kashif Shah, Lucia Specia, Thomas Hain
:
Groupwise learning for ASR k-best list reranking in spoken language translation. ICASSP 2016: 6120-6124 - [c96]Sarah Al-Shareef
, Thomas Hain
:
Colloquialising Modern Standard Arabic Text for Improved Speech Recognition. INTERSPEECH 2016: 1345-1349 - [c95]Thomas Hain
, Jeremy Christian, Oscar Saz, Salil Deena, Madina Hasan, Raymond W. M. Ng, Rosanna Milner
, Mortaza Doulaty, Yulan Liu:
webASR 2 - Improved Cloud Based Speech Technology. INTERSPEECH 2016: 1613-1617 - [c94]Julia Olcoz, Oscar Saz, Thomas Hain
:
Error Correction in Lightly Supervised Alignment of Broadcast Subtitles. INTERSPEECH 2016: 2110-2114 - [c93]Mortaza Doulaty, Oscar Saz, Raymond W. M. Ng, Thomas Hain
:
Automatic Genre and Show Identification of Broadcast Media. INTERSPEECH 2016: 2115-2119 - [c92]Rosanna Milner
, Thomas Hain
:
DNN-Based Speaker Clustering for Speaker Diarisation. INTERSPEECH 2016: 2185-2189 - [c91]Salil Deena, Madina Hasan, Mortaza Doulaty, Oscar Saz, Thomas Hain
:
Combining Feature and Model-Based Adaptation of RNNLMs for Multi-Genre Broadcast Speech Recognition. INTERSPEECH 2016: 2343-2347 - [c90]Iñigo Casanueva, Thomas Hain
, Phil D. Green:
Improving Generalisation to New Speakers in Spoken Dialogue State Tracking. INTERSPEECH 2016: 2726-2730 - [c89]Raymond W. M. Ng, Bhusan Chettri
, Thomas Hain
:
Combining Weak Tokenisers for Phonotactic Language Recognition in a Resource-Constrained Setting. INTERSPEECH 2016: 2939-2943 - [c88]Erfan Loweimi
, Jon Barker, Thomas Hain
:
Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition. INTERSPEECH 2016: 3798-3802 - [c87]Yulan Liu, Charles Fox, Madina Hasan, Thomas Hain
:
The Sheffield Wargame Corpus - Day Two and Day Three. INTERSPEECH 2016: 3833-3837 - [c86]Ghada AlHarbi, Thomas Hain:
The OpenCourseWare Metadiscourse (OCWMD) Corpus. LREC 2016 - [c85]Mauro Nicolao, Heidi Christensen, Stuart P. Cunningham, Phil D. Green, Thomas Hain:
A Framework for Collecting Realistic Recordings of Dysarthric Speech - the homeService Corpus. LREC 2016 - [c84]Raymond W. M. Ng, Mauro Nicolao
, Oscar Saz, Madina Hasan, Bhusan Chettri
, Mortaza Doulaty, Tan Lee
, Thomas Hain
:
The Sheffield language recognition system in NIST LRE 2015. Odyssey 2016: 181-187 - [c83]Iñigo Casanueva, Thomas Hain
, Mauro Nicolao
, Phil D. Green:
Using phone features to improve dialogue state tracking generalisation to unseen states. SIGDIAL Conference 2016: 80-89 - [i7]Mortaza Doulaty, Oscar Saz, Raymond W. M. Ng, Thomas Hain
:
Automatic Genre and Show Identification of Broadcast Media. CoRR abs/1606.03333 (2016) - 2015
- [c82]Mortaza Doulaty, Oscar Saz, Raymond W. M. Ng
, Thomas Hain
:
Latent Dirichlet Allocation based organisation of broadcast media archives for deep neural network adaptation. ASRU 2015: 130-136 - [c81]Oscar Saz, Mortaza Doulaty, Salil Deena, Rosanna Milner
, Raymond W. M. Ng
, Madina Hasan, Yulan Liu, Thomas Hain
:
The 2015 sheffield system for transcription of Multi-Genre Broadcast media. ASRU 2015: 624-631 - [c80]Rosanna Milner
, Oscar Saz, Salil Deena, Mortaza Doulaty, Raymond W. M. Ng
, Thomas Hain
:
The 2015 sheffield system for longitudinal diarisation of broadcast media. ASRU 2015: 632-638 - [c79]Peter Bell, Mark J. F. Gales, Thomas Hain
, Jonathan Kilgour, Pierre Lanchantin, Xunying Liu, Andrew McParland, Steve Renals
, Oscar Saz, Mirjam Wester, Philip C. Woodland:
The MGB challenge: Evaluating multi-genre broadcast media recognition. ASRU 2015: 687-693 - [c78]Ghada AlHarbi, Thomas Hain:
Using Topic Segmentation Models for the Automatic Organisation of MOOCs resources. EDM 2015: 524-527 - [c77]Yulan Liu, Penny Karanasou, Thomas Hain
:
An investigation into speaker informed DNN front-end for LVCSR. ICASSP 2015: 4300-4304 - [c76]Raymond W. M. Ng
, Kashif Shah, Wilker Aziz, Lucia Specia
, Thomas Hain
:
Quality estimation for asr k-best list rescoring in spoken language translation. ICASSP 2015: 5226-5230 - [c75]Mauro Nicolao
, Amy V. Beeston
, Thomas Hain
:
Automatic assessment of English learner pronunciation using discriminative classifiers. ICASSP 2015: 5351-5355 - [c74]Madina Hasan, Rama Doddipatla, Thomas Hain
:
Noise-matched training of CRF based sentence end detection models. INTERSPEECH 2015: 349-353 - [c73]Erfan Loweimi, Jon Barker, Thomas Hain
:
Source-filter separation of speech signal in the phase domain. INTERSPEECH 2015: 598-602 - [c72]Raymond W. M. Ng, Kashif Shah, Lucia Specia, Thomas Hain
:
A study on the stability and effectiveness of features in quality estimation for spoken language translation. INTERSPEECH 2015: 2257-2261 - [c71]Mortaza Doulaty, Oscar Saz, Thomas Hain
:
Data-selective transfer learning for multi-domain speech recognition. INTERSPEECH 2015: 2897-2901 - [c70]Mortaza Doulaty, Oscar Saz, Thomas Hain
:
Unsupervised domain discovery using latent dirichlet allocation for acoustic modelling in speech recognition. INTERSPEECH 2015: 3640-3644 - [c69]Iñigo Casanueva, Thomas Hain
, Heidi Christensen
, Ricard Marxer, Phil D. Green:
Knowledge transfer between speakers for personalised dialogue management. SIGDIAL Conference 2015: 12-21 - [c68]Erfan Loweimi
, Mortaza Doulaty, Jon Barker
, Thomas Hain
:
Long-Term Statistical Feature Extraction from Speech Signal and Its Application in Emotion Recognition. SLSP 2015: 173-184 - [c67]Ghada AlHarbi, Raymond W. M. Ng, Thomas Hain
:
Annotating meta-discourse in academic lectures from different disciplines. SLaTE 2015: 161-166 - [i6]Mortaza Doulaty, Oscar Saz, Thomas Hain
:
Data-selective Transfer Learning for Multi-Domain Speech Recognition. CoRR abs/1509.02409 (2015) - [i5]Mortaza Doulaty, Oscar Saz, Thomas Hain
:
Unsupervised Domain Discovery using Latent Dirichlet Allocation for Acoustic Modelling in Speech Recognition. CoRR abs/1509.02412 (2015) - [i4]Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla, Wilker Aziz, Kashif Shah, Oscar Saz, Madina Hasan, Ghada AlHarbi, Lucia Specia, Thomas Hain
:
The USFD Spoken Language Translation System for IWSLT 2014. CoRR abs/1509.03870 (2015) - [i3]Oscar Saz, Mortaza Doulaty, Thomas Hain
:
Background-tracking Acoustic Features for Genre Identification of Broadcast Shows. CoRR abs/1509.04934 (2015) - [i2]Mortaza Doulaty, Oscar Saz, Raymond W. M. Ng, Thomas Hain
:
Latent Dirichlet Allocation Based Organisation of Broadcast Media Archives for Deep Neural Network Adaptation. CoRR abs/1511.05076 (2015) - [i1]Oscar Saz, Mortaza Doulaty, Salil Deena, Rosanna Milner
, Raymond W. M. Ng, Madina Hasan, Yulan Liu, Thomas Hain
:
The 2015 Sheffield System for Transcription of Multi-Genre Broadcast Media. CoRR abs/1512.06643 (2015) - 2014
- [j8]Herman Kamper
, Febe de Wet
, Thomas Hain
, Thomas Niesler:
Capitalising on North American speech resources for the development of a South African English large vocabulary speech recognition system. Comput. Speech Lang. 28(6): 1255-1268 (2014) - [c66]Yulan Liu, Pengyuan Zhang, Thomas Hain
:
Using neural network front-ends on far field multiple microphones based speech recognition. ICASSP 2014: 5542-5546 - [c65]Oscar Saz, Thomas Hain
:
Using contextual information in joint factor eigenspace MLLR for speech recognition in diverse scenarios. ICASSP 2014: 6314-6318 - [c64]I. Casanueva, Heidi Christensen
, Thomas Hain
, Phil D. Green:
Adaptive speech recognition and dialogue management for users with speech disorders. INTERSPEECH 2014: 1033-1037 - [c63]Rama Doddipatla, Madina Hasan, Thomas Hain
:
Speaker dependent bottleneck layer training for speaker adaptation in automatic speech recognition. INTERSPEECH 2014: 2199-2203 - [c62]Charles Fox, Thomas Hain:
Extending Limabeam with discrimination and coarse gradients. INTERSPEECH 2014: 2440-2444 - [c61]Madina Hasan, Rama Doddipatla, Thomas Hain
:
Multi-pass sentence-end detection of lecture speech. INTERSPEECH 2014: 2902-2906 - [c60]Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla, Wilker Aziz, Kashif Shah, Oscar Saz, Madina Hasan, Ghada AlHaribi, Lucia Specia, Thomas Hain:
The USFD SLT system for IWSLT 2014. IWSLT (Evaluation Campaign) 2014 - [c59]Oscar Saz, Mortaza Doulaty, Thomas Hain
:
Background-tracking acoustic features for genre identification of broadcast shows. SLT 2014: 118-123 - [c58]Pengyuan Zhang, Yulan Liu, Thomas Hain
:
Semi-supervised DNN training in meeting recognition. SLT 2014: 141-146 - [c57]Heidi Christensen
, I. Casanueva, Stuart P. Cunningham
, Phil D. Green
, Thomas Hain
:
Automatic selection of speakers for improved acoustic modelling: recognition of disordered speech with sparse data. SLT 2014: 254-259 - 2013
- [c56]Charles Fox, Thomas Hain
:
Lightly supervised learning from a damaged natural speech corpus. ICASSP 2013: 8086-8090 - [c55]Raymond W. M. Ng
, Thomas Hain
, Trevor Cohn
:
Adaptation of lecture speech recognition system with machine translation output. ICASSP 2013: 8401-8405 - [c54]Pierre Lanchantin, Peter Bell, Mark J. F. Gales, Thomas Hain, Xunying Liu, Yanhua Long, Jennifer Quinnell, Steve Renals, Oscar Saz, Matthew Stephen Seigel, Pawel Swietojanski, Philip C. Woodland:
Automatic Transcription of Multi-genre Media Archives. SLAM@INTERSPEECH 2013: 26-31 - [c53]Charles Fox, Yulan Liu, Erich Zwyssig, Thomas Hain:
The sheffield wargames corpus. INTERSPEECH 2013: 1116-1120 - [c52]Heidi Christensen, Phil D. Green, Thomas Hain:
Learning speaker-specific pronunciations of disordered speech. INTERSPEECH 2013: 1159-1163 - [c51]Oscar Saz, Thomas Hain
:
Asynchronous factorisation of speaker and background with feature transforms in speech recognition. INTERSPEECH 2013: 1238-1242 - [c50]Heidi Christensen
, Magda B. Aniol, Peter Bell, Phil D. Green, Thomas Hain
, Simon King, Pawel Swietojanski:
Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech. INTERSPEECH 2013: 3642-3645 - [c49]Heidi Christensen, Iñigo Casanueva, Stuart P. Cunningham, Phil D. Green, Thomas Hain:
homeService: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition. SLPAT 2013: 29-34 - 2012
- [j7]Thomas Hain
, Lukás Burget
, John Dines, Philip N. Garner
, Frantisek Grézl, Asmaa El Hannani
, Marijn Huijbregts, Martin Karafiát
, Mike Lincoln, Vincent Wan:
Transcribing Meetings With the AMIDA Systems. IEEE Trans. Speech Audio Process. 20(2): 486-498 (2012) - [j6]Matthew Gibson, Thomas Hain
:
Correctness-Adjusted Unsupervised Discriminative Acoustic Model Adaptation. IEEE Trans. Speech Audio Process. 20(10): 2648-2656 (2012) - [c48]Matthew Gibson, Thomas Hain
:
Application of SVM-based correctness predictions to unsupervised discriminative speaker adaptation. ICASSP 2012: 4341-4344 - [c47]Gwénolé Lecorvé, John Dines, Thomas Hain
, Petr Motlícek:
Supervised and unsupervised Web-based language model domain adaptation. INTERSPEECH 2012: 182-185 - [c46]Raymond W. M. Ng, Thomas Hain
, Keikichi Hirose:
An alignment matching method to explore pseudosyllable properties across different corpora. INTERSPEECH 2012: 863-866 - [c45]Heidi Christensen, Stuart P. Cunningham, Charles Fox, Phil D. Green, Thomas Hain:
A comparative study of adaptive, automatic recognition of disordered speech. INTERSPEECH 2012: 1776-1779 - [c44]Sarah Al-Shareef, Thomas Hain
:
CRF-based Diacritisation of Colloquial Arabic for Automatic Speech Recognition. INTERSPEECH 2012: 1824-1827 - [c43]Ghada AlHarbi, Thomas Hain
:
Automatic transcription of academic lectures from diverse disciplines. SLT 2012: 398-403 - [c42]Herman Kamper, Febe de Wet, Thomas Hain, Thomas Niesler:
Resource development and experiments in automatic south african broadcast news transcription. SLTU 2012: 102-106 - [c41]Gwénolé Lecorvé, John Dines, Thomas Hain, Petr Motlícek:
Impact du degré de supervision sur l'adaptation à un domaine d'un modèle de langage à partir du Web (Impact of the level of supervision on Web-based language model domain adaptation) [in French]. JEP-TALN-RECITAL 2012 2012: 193-200 - 2011
- [c40]Davide Marino, Thomas Hain:
An Analysis of Automatic Speech Recognition with Multiple Microphones. INTERSPEECH 2011: 1281-1284 - [c39]Sarah Al-Shareef, Thomas Hain
:
An Investigation in Speech Recognition for Colloquial Arabic. INTERSPEECH 2011: 2869-2872 - [c38]Timothy Kempton, Roger K. Moore, Thomas Hain:
Cross-Language Phone Recognition when the Target Language Phoneme Inventory is not Known. INTERSPEECH 2011: 3165-3168 - [c37]Stuart N. Wrigley
, Thomas Hain
:
Web-Based Automatic Speech Recognition Service - webASR. INTERSPEECH 2011: 3265-3268 - [c36]Stuart N. Wrigley, Thomas Hain:
Making an Automatic Speech Recognition Service Freely Available on the Web. INTERSPEECH 2011: 3325-3326 - [c35]Roger C. F. Tucker, Dan Fry, Vincent Wan, Stuart N. Wrigley, Thomas Hain:
Extending Audio Notetaker to Browse WebASR Transcriptions. INTERSPEECH 2011: 3329-3330 - 2010
- [j5]Asmaa El Hannani
, Thomas Hain
:
Automatic Optimization of Speech Decoder Parameters. IEEE Signal Process. Lett. 17(1): 95-98 (2010) - [j4]Matt Gibson, Thomas Hain
:
Error Approximation and Minimum Phone Error Acoustic Model Estimation. IEEE Trans. Speech Audio Process. 18(6): 1269-1279 (2010) - [c34]Thomas Hain
, Lukás Burget, John Dines, Philip N. Garner, Asmaa El Hannani, Marijn Huijbregts, Martin Karafiát, Mike Lincoln, Vincent Wan:
The AMIDA 2009 meeting transcription system. INTERSPEECH 2010: 358-361
2000 – 2009
- 2009
- [c33]Philip N. Garner, John Dines, Thomas Hain
, Asmaa El Hannani, Martin Karafiát, Danil Korchagin, Mike Lincoln, Vincent Wan, Le Zhang:
Real-time ASR from meetings. INTERSPEECH 2009: 2119-2122 - 2008
- [c32]Thomas Hain
, Asmaa El Hannani, Stuart N. Wrigley
, Vincent Wan:
Automatic speech recognition for scientific purposes - webASR. INTERSPEECH 2008: 504-507 - [c31]Martin Karafiát, Lukás Burget, Thomas Hain
, Jan Cernocký:
Discrimininative training of narrow band - wide band adapted systems for meeting recognition. INTERSPEECH 2008: 1217-1220 - [c30]Vincent Wan, John Dines, Asmaa El Hannani
, Thomas Hain
:
Bob: A lexicon and pronunciation dictionary generator. SLT 2008: 217-220 - 2007
- [c29]Steve Renals
, Thomas Hain
, Hervé Bourlard:
Recognition and understanding of meetings the AMI and AMIDA projects. ASRU 2007: 238-247 - [c28]Thomas Hain
, Lukás Burget
, John Dines, Giulia Garau, Martin Karafiát
, David A. van Leeuwen, Mike Lincoln, Vincent Wan:
The 2007 AMI(DA) System for Meeting Transcription. CLEAR 2007: 414-428 - [c27]Thomas Hain
, Vincent Wan, Lukás Burget
, Martin Karafiát
, John Dines, Jithendra Vepa, Giulia Garau, Mike Lincoln:
The AMI System for the Transcription of Speech in Meetings. ICASSP (4) 2007: 357-360 - [c26]Matthew Gibson, Thomas Hain:
Temporal masking for unsupervised minimum Bayes risk speaker adaptation. INTERSPEECH 2007: 238-241 - [c25]Martin Karafiát, Lukás Burget, Jan Cernocký, Thomas Hain
:
Application of CMLLR in narrow band wide band adapted systems. INTERSPEECH 2007: 282-285 - 2006
- [j3]Thomas Hain
, Philip C. Woodland, Gunnar Evermann, Mark J. F. Gales, Xunying Liu, Gareth L. Moore, Daniel Povey, Lan Wang:
Corrections to "Automatic Transcription of Conversational Telephone Speech". IEEE Trans. Speech Audio Process. 14(2): 727-727 (2006) - [c24]Vincent Wan, Thomas Hain
:
Strategies for Language Model Web-Data Collection. ICASSP (1) 2006: 1069-1072 - [c23]John Dines, Jithendra Vepa, Thomas Hain
:
The segmentation of multi-channel meeting recordings for automatic speech recognition. INTERSPEECH 2006 - [c22]Matthew Gibson, Thomas Hain:
Hypothesis spaces for minimum Bayes risk training in large vocabulary speech recognition. INTERSPEECH 2006 - [c21]Esmeralda Uraga, Thomas Hain:
Automatic speech recognition experiments with articulatory data. INTERSPEECH 2006 - [c20]Marc A. Al-Hames, Thomas Hain
, Jan Cernocký
, Sascha Schreiber, Mannes Poel, Ronald Müller, Sébastien Marcel, David A. van Leeuwen, Jean-Marc Odobez, Sileye O. Ba, Hervé Bourlard, Fabien Cardinaux, Daniel Gatica-Perez, Adam Janin, Petr Motlícek
, Stephan Reiter, Steve Renals
, Jeroen van Rest, Rutger Rienks, Gerhard Rigoll, Kevin Smith, Andrew H. C. Thean, Pavel Zemcík
:
Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers. MLMI 2006: 24-35 - [c19]Darren Moore, John Dines, Mathew Magimai-Doss, Jithendra Vepa, Octavian Cheng, Thomas Hain
:
Juicer: A Weighted Finite-State Transducer Speech Decoder. MLMI 2006: 285-296 - [c18]Thomas Hain
, Lukás Burget
, John Dines, Giulia Garau, Martin Karafiát
, Mike Lincoln, Jithendra Vepa, Vincent Wan:
The AMI Meeting Transcription System: Progress and Performance. MLMI 2006: 419-431 - 2005
- [j2]Thomas Hain
:
Implicit modelling of pronunciation variation in automatic speech recognition. Speech Commun. 46(2): 171-188 (2005) - [j1]Thomas Hain
, Philip C. Woodland, Gunnar Evermann, Mark J. F. Gales, Xunying Liu, Gareth L. Moore, Daniel Povey, Lan Wang:
Automatic transcription of conversational telephone speech. IEEE Trans. Speech Audio Process. 13(6): 1173-1185 (2005) - [c17]Thomas Hain, David Mercer:
Fast Floating Point Square Root. AMCS 2005: 33-39 - [c16]Thomas Hain, David Langan:
A Fast, Practical Algorithm for the Trapezoidation of Simple Polygons. CISST 2005: 98-108 - [c15]Giulia Garau, Steve Renals, Thomas Hain
:
Applying vocal tract length normalization to meeting recordings. INTERSPEECH 2005: 265-268 - [c14]Thomas Hain
, John Dines, Giulia Garau, Martin Karafiát, Darren Moore, Vincent Wan, Roeland Ordelman, Steve Renals:
Transcription of conference room meetings: an investigation. INTERSPEECH 2005: 1661-1664 - [c13]Jean Carletta, Simone Ashby
, Sebastien Bourban, Mike Flynn, Maël Guillemot, Thomas Hain
, Jaroslav Kadlec, Vasilis Karaiskos, Wessel Kraaij
, Melissa Kronenthal, Guillaume Lathoud, Mike Lincoln, Agnes Lisowska, Iain McCowan, Wilfried M. Post, Dennis Reidsma
, Pierre Wellner:
The AMI Meeting Corpus: A Pre-announcement. MLMI 2005: 28-39 - [c12]Thomas Hain
, Lukás Burget
, John Dines, Iain McCowan, Giulia Garau, Martin Karafiát
, Mike Lincoln, Darren Moore, Vincent Wan, Roeland Ordelman
, Steve Renals
:
The Development of the AMI System for the Transcription of Speech in Meetings. MLMI 2005: 344-356 - [c11]Thomas Hain
, Lukás Burget
, John Dines, Giulia Garau, Martin Karafiát
, Mike Lincoln, Iain McCowan, Darren Moore, Vincent Wan, Roeland Ordelman
, Steve Renals:
The 2005 AMI System for the Transcription of Speech in Meetings. MLMI 2005: 450-462 - 2004
- [c10]Gunnar Evermann, Ho Yin Chan, Mark J. F. Gales, Thomas Hain
, Xunying Liu, David Mrva, Lan Wang, Philip C. Woodland:
Development of the 2003 CU-HTK conversational telephone speech transcription system. ICASSP (1) 2004: 249-252 - [c9]Do Yeong Kim, Srinivasan Umesh, Mark J. F. Gales, Thomas Hain, Philip C. Woodland:
Using VTLN for broadcast news transcription. INTERSPEECH 2004: 1953-1956 - 2001
- [c8]Thomas Hain
, Philip C. Woodland, Gunnar Evermann, Daniel Povey:
New features in the CU-HTK system for transcription of conversational telephone speech. ICASSP 2001: 57-60 - 2000
- [c7]Thomas Hain, Philip C. Woodland:
Modelling sub-phone insertions and deletions in continuous speech recognition. INTERSPEECH 2000: 172-175
1990 – 1999
- 1999
- [c6]Thomas Hain
, Philip C. Woodland, Thomas Niesler, Edward W. D. Whittaker:
The 1998 HTK system for transcription of conversational telephone speech. ICASSP 1999: 57-60 - [c5]Thomas Hain, Philip C. Woodland:
Dynamic HMM selection for continuous speech recognition. EUROSPEECH 1999 - [c4]Philip C. Woodland, J. J. Odell, Thomas Hain
, Gareth L. Moore, Thomas Niesler, Andreas Tuerk, Edward W. D. Whittaker:
Improvements in accuracy and speed in the HTK broadcast news transcription system. EUROSPEECH 1999: 1043-1046 - 1998
- [c3]Philip C. Woodland, Thomas Hain
, Sue E. Johnson, Thomas Niesler, Andreas Tuerk, Steve J. Young:
Experiments in broadcast news transcription. ICASSP 1998: 909-912 - [c2]Thomas Hain, Philip C. Woodland:
Segmentation and classification of broadcast news audio. ICSLP 1998 - 1994
- [c1]Bemd Hurtgen, Thomas Hain
:
On the convergence of fractal transforms. ICASSP (5) 1994: 561-564
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
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