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ORCIDSheng Li 0010
李勝 – 李胜
Person information
- unicode name: 李勝
- unicode name: 李胜
- affiliation: National Institute of Information and Communications Technology (NICT), Universal Communication Research Institute (UCRI), Kyoto, Japan
- affiliation (2012-2017, PhD 2016): Kyoto University, Graduate School of Informatics, Japan
- affiliation (2008-2012): Shenzhen Institutes of Advanced Technology, Shenzhen, China
- affiliation (2008-2012): Chinese Academy of Sciences, Beijing, China
- affiliation (2008-2012): Chinese University of Hong Kong, Hong Kong
- affiliation (2002-2009): Nanjing University, China
Other persons with the same name
- Sheng Li — disambiguation page
- Sheng Li 0001
![[0000-0003-1205-8632]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1205-8632")
— University of Virginia, Charlottesville, VA, USA (and 3 more) - Sheng Li 0002 — Peking University, Department of Psychology, Beijing, China (and 2 more)
- Sheng Li 0003 — Harbin Institute of Technology, Laboratory of Machine Intelligence and Translation, China
- Sheng Li 0005 — Zhejiang University of Technology, Hangzhou, China (and 2 more)
- Sheng Li 0006 — Fudan University, School of Computer Science, Shanghai Institute of Intelligent Electronics and Systems, China (and 2 more)
- Sheng Li 0007 — Google, Mountain View, CA, USA (and 3 more)
- Sheng Li 0008 — Peking University, Department of Computer Science, Beijing, China
- Sheng Li 0009 — Xijing University, Xi'an, China (and 1 more)
- Sheng Li 0011 — Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China (and 1 more)
- Sheng Li 0012 — Nanjing Institute of Technology, School of Electric Power Engineering, China
- Sheng Li 0013 — Central University of Finance and Economics, Beijing, China
- Sheng Li 0014 — Karlsruhe Institute of Technology, Germany
- Sheng Li 0015 — University of Texas Health Science Center at Houston, TX, USA
- Sheng Li 0016 — Nanjing University of Science and Technology, Nanjing, Jiangsu, China
- Sheng Li 0017 — Alibaba Inc., Hangzhou, China (and 1 more)
- Sheng Li 0018 — Wuhan University of Technology, National Engineering Laboratory for Fiber Optic Sensing Technology, China
- Sheng Li 0019 — University of Pittsburgh, PA, USA (and 1 more)
- Sheng Li 0020 — University of Electronic Science and Technology of China, Chengdu, China (and 1 more)
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2020 – today
- 2024
[j11]Sheng Li, Jiyi Li, Yang Cao:
Phantom in the opera: adversarial music attack for robot dialogue system. Frontiers Comput. Sci. 6 (2024)- [j10]Sheng Li, Jiyi Li, Chenhui Chu:
Voices of the Himalayas: Benchmarking Speech Recognition Systems for the Tibetan Language. Int. J. Asian Lang. Process. 34(1): 2450001:1-2450001:13 (2024) - [j9]Nan Li, Longbiao Wang, Meng Ge, Masashi Unoki, Sheng Li, Jianwu Dang:
Robust voice activity detection using an auditory-inspired masked modulation encoder based convolutional attention network. Speech Commun. 157: 103024 (2024) - [c81]Wangjin Zhou, Zhengdong Yang, Chenhui Chu, Sheng Li, Raj Dabre, Yi Zhao, Tatsuya Kawahara:
MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction. ICASSP 2024: 876-880 - [c80]Yi Zhao, Chunyu Qiang, Hao Li, Yulan Hu, Wangjin Zhou, Sheng Li:
Enhancing Realism in 3D Facial Animation Using Conformer-Based Generation and Automated Post-Processing. ICASSP 2024: 8341-8345 - [c79]Yankun Wu, Yuta Nakashima, Noa Garcia, Sheng Li, Zhaoyang Zeng:
Reproducibility Companion Paper: Stable Diffusion for Content-Style Disentanglement in Art Analysis. ICMR 2024: 1228-1231 - [i8]Wangjin Zhou, Zhengdong Yang, Chenhui Chu, Sheng Li, Raj Dabre, Yi Zhao, Tatsuya Kawahara:
MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction. CoRR abs/2401.13249 (2024) - [i7]Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa:
Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks. CoRR abs/2407.08529 (2024) - 2023
- [j8]Soky Kak, Sheng Li, Chenhui Chu, Tatsuya Kawahara:
Finetuning Pretrained Model with Embedding of Domain and Language Information for ASR of Very Low-Resource Settings. Int. J. Asian Lang. Process. 33(4): 2350024:1-2350024:17 (2023) - [j7]Yuqin Lin, Jianwu Dang, Longbiao Wang, Sheng Li, Chenchen Ding:
Disordered speech recognition considering low resources and abnormal articulation. Speech Commun. 155: 103002 (2023) - [c78]Shuichiro Shimizu, Chenhui Chu, Sheng Li, Sadao Kurohashi:
Towards Speech Dialogue Translation Mediating Speakers of Different Languages. ACL (Findings) 2023: 1122-1134 - [c77]Longfei Yang, Jiyi Li, Sheng Li, Takahiro Shinozaki:
Multi-Domain Dialogue State Tracking with Disentangled Domain-Slot Attention. ACL (Findings) 2023: 4928-4938 - [c76]Zili Qi, Xinhui Hu, Wangjin Zhou, Sheng Li, Hao Wu, Jian Lu, Xinkang Xu:
LE-SSL-MOS: Self-Supervised Learning MOS Prediction with Listener Enhancement. ASRU 2023: 1-6 - [c75]Wenqing Wei, Zhengdong Yang, Yuan Gao, Jiyi Li, Chenhui Chu, Shogo Okada, Sheng Li:
FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimers Speech Detection. ASRU 2023: 1-6 - [c74]Sheng Li, Jiyi Li:
Correction while Recognition: Combining Pretrained Language Model for Taiwan-Accented Speech Recognition. ICANN (7) 2023: 389-400 - [c73]Soky Kak, Sheng Li, Chenhui Chu, Tatsuya Kawahara:
Domain and Language Adaptation Using Heterogeneous Datasets for Wav2vec2.0-Based Speech Recognition of Low-Resource Language. ICASSP 2023: 1-5 - [c72]Helen Korving, Sheng Li, Di Zhou, Paula Sophia Sterkenburg, Panos Markopoulos, Emilia I. Barakova:
Development of a Pain Signaling System Using Machine Learning. ICASSP Workshops 2023: 1-5 - [c71]Qianying Liu, Zhuo Gong, Zhengdong Yang, Yuhang Yang, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Chenhui Chu, Sadao Kurohashi:
Hierarchical Softmax for End-To-End Low-Resource Multilingual Speech Recognition. ICASSP 2023: 1-5 - [c70]Chao Tan, Yang Cao, Sheng Li, Masatoshi Yoshikawa:
General or Specific? Investigating Effective Privacy Protection in Federated Learning for Speech Emotion Recognition. ICASSP 2023: 1-5 - [c69]Kai Wang, Yuhang Yang, Hao Huang, Ying Hu, Sheng Li:
Speakeraugment: Data Augmentation for Generalizable Source Separation via Speaker Parameter Manipulation. ICASSP 2023: 1-5 - [c68]Yuhang Yang, Haihua Xu, Hao Huang, Eng Siong Chng, Sheng Li:
Speech-Text Based Multi-Modal Training with Bidirectional Attention for Improved Speech Recognition. ICASSP 2023: 1-5 - [c67]Zhengdong Yang, Shuichiro Shimizu, Wangjin Zhou, Sheng Li, Chenhui Chu:
The Kyoto Speech-to-Speech Translation System for IWSLT 2023. IWSLT@ACL 2023: 357-362 - [c66]Wangjin Zhou, Zhengdong Yang, Sheng Li, Chenhui Chu:
KyotoMOS: An Automatic MOS Scoring System for Speech Synthesis. MMAsia (Workshops) 2023: 7:1-7:3 - [c65]Xiaojiao Chen, Sheng Li, Jiyi Li, Hao Huang, Yang Cao, Liang He:
Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization. MMAsia 2023: 93:1-93:5 - [c64]Xiaojiao Chen, Sheng Li, Jiyi Li, Yang Cao, Hao Huang, Liang He:
GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System. MMAsia 2023: 94:1-94:5 - [i6]Shuichiro Shimizu, Chenhui Chu, Sheng Li, Sadao Kurohashi:
Towards Speech Dialogue Translation Mediating Speakers of Different Languages. CoRR abs/2305.09210 (2023) - 2022
- [j6]Siqing Qin, Longbiao Wang, Sheng Li, Jianwu Dang, Lixin Pan:
Improving low-resource Tibetan end-to-end ASR by multilingual and multilevel unit modeling. EURASIP J. Audio Speech Music. Process. 2022(1): 2 (2022) - [c63]Kai Li, Xugang Lu, Masato Akagi, Jianwu Dang, Sheng Li, Masashi Unoki:
Relationship Between Speakers' Physiological Structure and Acoustic Speech Signals: Data-Driven Study Based on Frequency-Wise Attentional Neural Network. EUSIPCO 2022: 379-383 - [c62]Kai Wang, Yizhou Peng, Hao Huang, Ying Hu, Sheng Li:
Mining Hard Samples Locally And Globally For Improved Speech Separation. ICASSP 2022: 6037-6041 - [c61]Yongjie Lv, Longbiao Wang, Meng Ge, Sheng Li, Chenchen Ding, Lixin Pan, Yuguang Wang, Jianwu Dang, Kiyoshi Honda:
Compressing Transformer-Based ASR Model by Task-Driven Loss and Attention-Based Multi-Level Feature Distillation. ICASSP 2022: 7992-7996 - [c60]Xiaojiao Chen, Sheng Li, Hao Huang:
GhostVec: Directly Extracting Speaker Embedding from End-to-End Speech Recognition Model Using Adversarial Examples. ICONIP (6) 2022: 482-492 - [c59]Sheng Li, Jiyi Li, Qianying Liu, Zhuo Gong:
An End-to-End Chinese and Japanese Bilingual Speech Recognition Systems with Shared Character Decomposition. ICONIP (6) 2022: 493-503 - [c58]Guangxing Li, Wangjin Zhou, Sheng Li, Yi Zhao, Jichen Yang, Hao Huang:
Investigating Effective Domain Adaptation Method for Speaker Verification Task. ICONIP (6) 2022: 517-527 - [c57]Hao Shi, Longbiao Wang, Sheng Li, Jianwu Dang, Tatsuya Kawahara:
Monaural Speech Enhancement Based on Spectrogram Decomposition for Convolutional Neural Network-sensitive Feature Extraction. INTERSPEECH 2022: 221-225 - [c56]Nan Li, Meng Ge, Longbiao Wang, Masashi Unoki, Sheng Li, Jianwu Dang:
Global Signal-to-noise Ratio Estimation Based on Multi-subband Processing Using Convolutional Neural Network. INTERSPEECH 2022: 361-365 - [c55]Longfei Yang, Wenqing Wei, Sheng Li, Jiyi Li, Takahiro Shinozaki:
Augmented Adversarial Self-Supervised Learning for Early-Stage Alzheimer's Speech Detection. INTERSPEECH 2022: 541-545 - [c54]Kai Li, Sheng Li, Xugang Lu, Masato Akagi, Meng Liu, Lin Zhang, Chang Zeng, Longbiao Wang, Jianwu Dang, Masashi Unoki:
Data Augmentation Using McAdams-Coefficient-Based Speaker Anonymization for Fake Audio Detection. INTERSPEECH 2022: 664-668 - [c53]Soky Kak, Sheng Li, Masato Mimura, Chenhui Chu, Tatsuya Kawahara:
Leveraging Simultaneous Translation for Enhancing Transcription of Low-resource Language via Cross Attention Mechanism. INTERSPEECH 2022: 1362-1366 - [c52]Siqing Qin, Longbiao Wang, Sheng Li, Yuqin Lin, Jianwu Dang:
Finer-grained Modeling units-based Meta-Learning for Low-resource Tibetan Speech Recognition. INTERSPEECH 2022: 2133-2137 - [c51]Zhengdong Yang, Wangjin Zhou, Chenhui Chu, Sheng Li, Raj Dabre, Raphael Rubino, Yi Zhao:
Fusion of Self-supervised Learned Models for MOS Prediction. INTERSPEECH 2022: 5443-5447 - [c50]Sheng Li, Jiyi Li, Qianying Liu, Zhuo Gong:
Adversarial Speech Generation and Natural Speech Recovery for Speech Content Protection. LREC 2022: 7291-7297 - [c49]Soky Kak, Zhuo Gong, Sheng Li:
Nict-Tib1: A Public Speech Corpus Of Lhasa Dialect For Benchmarking Tibetan Language Speech Recognition Systems. O-COCOSDA 2022 2022: 1-5 - [c48]Zhuo Gong, Daisuke Saito, Longfei Yang, Takahiro Shinozaki, Sheng Li, Hisashi Kawai, Nobuaki Minematsu:
Self-Adaptive Multilingual ASR Rescoring with Language Identification and Unified Language Model. Odyssey 2022: 415-420 - [c47]Longfei Yang, Jiyi Li, Sheng Li, Takahiro Shinozaki:
Multi-Domain Dialogue State Tracking with Top-K Slot Self Attention. SIGDIAL 2022: 231-236 - [i5]Qianying Liu, Yuhang Yang, Zhuo Gong, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Sadao Kurohashi:
Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition. CoRR abs/2204.03855 (2022) - [i4]Zhengdong Yang, Wangjin Zhou, Chenhui Chu, Sheng Li, Raj Dabre, Raphael Rubino, Yi Zhao:
Fusion of Self-supervised Learned Models for MOS Prediction. CoRR abs/2204.04855 (2022) - [i3]Yuhang Yang, Haihua Xu, Hao Huang, Eng Siong Chng, Sheng Li:
Speech-text based multi-modal training with bidirectional attention for improved speech recognition. CoRR abs/2211.00325 (2022) - 2021
- [j5]Soky Kak, Masato Mimura, Tatsuya Kawahara, Chenhui Chu, Sheng Li, Chenchen Ding, Sethserey Sam:
TriECCC: Trilingual Corpus of the Extraordinary Chambers in the Courts of Cambodia for Speech Recognition and Translation Studies. Int. J. Asian Lang. Process. 31(3&4): 2250007:1-2250007:21 (2021) - [c46]Soky Kak, Sheng Li, Masato Mimura, Chenhui Chu, Tatsuya Kawahara:
On the Use of Speaker Information for Automatic Speech Recognition in Speaker-imbalanced Corpora. APSIPA ASC 2021: 433-437 - [c45]Hao Shi, Longbiao Wang, Sheng Li, Cunhang Fan, Jianwu Dang, Tatsuya Kawahara:
Spectrograms Fusion-based End-to-end Robust Automatic Speech Recognition. APSIPA ASC 2021: 438-442 - [c44]Yizhou Peng, Jicheng Zhang, Haobo Zhang, Haihua Xu, Hao Huang, Sheng Li, Eng Siong Chng:
Multilingual Approach to Joint Speech and Accent Recognition with DNN-HMM Framework. APSIPA ASC 2021: 1043-1048 - [c43]Shunfei Chen, Xinhui Hu, Sheng Li, Xinkang Xu:
An Investigation of Using Hybrid Modeling Units for Improving End-to-End Speech Recognition System. ICASSP 2021: 6743-6747 - [c42]Nan Li, Longbiao Wang, Masashi Unoki, Sheng Li, Rui Wang, Meng Ge, Jianwu Dang:
Robust Voice Activity Detection Using a Masked Auditory Encoder Based Convolutional Neural Network. ICASSP 2021: 6828-6832 - [c41]Hao Huang, Kai Wang, Ying Hu, Sheng Li:
Encoder-Decoder Based Pitch Tracking and Joint Model Training for Mandarin Tone Classification. ICASSP 2021: 6943-6947 - [c40]Luya Qiang, Hao Shi, Meng Ge, Haoran Yin, Nan Li, Longbiao Wang, Sheng Li, Jianwu Dang:
Speech Dereverberation Based on Scale-Aware Mean Square Error Loss. ICONIP (5) 2021: 55-63 - [c39]Dawei Liu, Longbiao Wang, Sheng Li, Haoyu Li, Chenchen Ding, Ju Zhang, Jianwu Dang:
Exploring Effective Speech Representation via ASR for High-Quality End-to-End Multispeaker TTS. ICONIP (6) 2021: 110-118 - [c38]Haoran Yin, Hao Shi, Longbiao Wang, Luya Qiang, Sheng Li, Meng Ge, Gaoyan Zhang, Jianwu Dang:
Simultaneous Progressive Filtering-Based Monaural Speech Enhancement. ICONIP (5) 2021: 213-221 - [c37]Kai Wang, Hao Huang, Ying Hu, Zhihua Huang, Sheng Li:
End-to-End Speech Separation Using Orthogonal Representation in Complex and Real Time-Frequency Domain. Interspeech 2021: 3046-3050 - [c36]Ding Wang, Shuaishuai Ye, Xinhui Hu, Sheng Li, Xinkang Xu:
An End-to-End Dialect Identification System with Transfer Learning from a Multilingual Automatic Speech Recognition Model. Interspeech 2021: 3266-3270 - [c35]Soky Kak, Masato Mimura, Tatsuya Kawahara, Sheng Li, Chenchen Ding, Chenhui Chu, Sethserey Sam:
Khmer Speech Translation Corpus of the Extraordinary Chambers in the Courts of Cambodia (ECCC). O-COCOSDA 2021: 122-127 - 2020
- [j4]Peng Shen, Xugang Lu, Sheng Li, Hisashi Kawai:
Knowledge Distillation-Based Representation Learning for Short-Utterance Spoken Language Identification. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2674-2683 (2020) - [c34]Yaowei Han, Yang Cao, Sheng Li, Qiang Ma, Masatoshi Yoshikawa:
Voice-Indistinguishability - Protecting Voiceprint with Differential Privacy under an Untrusted Server. CCS 2020: 2125-2127 - [c33]Yuqin Lin, Longbiao Wang, Jianwu Dang, Sheng Li, Chenchen Ding:
End-to-End Articulatory Modeling for Dysarthric Articulatory Attribute Detection. ICASSP 2020: 7349-7353 - [c32]Hao Shi, Longbiao Wang, Meng Ge, Sheng Li, Jianwu Dang:
Spectrograms Fusion with Minimum Difference Masks Estimation for Monaural Speech Dereverberation. ICASSP 2020: 7544-7548 - [c31]Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa:
Voice-Indistinguishability: Protecting Voiceprint In Privacy-Preserving Speech Data Release. ICME 2020: 1-6 - [c30]Shaotong Guo, Longbiao Wang, Sheng Li, Ju Zhang, Cheng Gong, Yuguang Wang, Jianwu Dang, Kiyoshi Honda:
Investigation of Effectively Synthesizing Code-Switched Speech Using Highly Imbalanced Mix-Lingual Data. ICONIP (1) 2020: 36-47 - [c29]Hao Shi, Longbiao Wang, Sheng Li, Chenchen Ding, Meng Ge, Nan Li, Jianwu Dang, Hiroshi Seki:
Singing Voice Extraction with Attention-Based Spectrograms Fusion. INTERSPEECH 2020: 2412-2416 - [c28]Yuqin Lin, Longbiao Wang, Sheng Li, Jianwu Dang, Chenchen Ding:
Staged Knowledge Distillation for End-to-End Dysarthric Speech Recognition and Speech Attribute Transcription. INTERSPEECH 2020: 4791-4795 - [c27]Aye Thida, Nway Nway Han, Sheinn Thawtar Oo, Sheng Li, Chenchen Ding:
VOIS: The First Speech Therapy App Specifically Designed for Myanmar Hearing-Impaired Children. O-COCOSDA 2020: 151-154 - [c26]Peng Shen, Xugang Lu, Komei Sugiura, Sheng Li, Hisashi Kawai:
Compensation on x-vector for Short Utterance Spoken Language Identification. Odyssey 2020: 47-52 - [c25]Sheng Li, Xugang Lu, Raj Dabre, Peng Shen, Hisashi Kawai:
Joint Training End-to-End Speech Recognition Systems with Speaker Attributes. Odyssey 2020: 385-390 - [p1]Xugang Lu, Sheng Li, Masakiyo Fujimoto:
Automatic Speech Recognition. Speech-to-Speech Translation 2020: 21-38 - [i2]Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa:
Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release. CoRR abs/2004.07442 (2020)
2010 – 2019
- 2019
- [c24]Lixin Pan, Sheng Li, Longbiao Wang, Jianwu Dang:
Effective Training End-to-End ASR systems for Low-resource Lhasa Dialect of Tibetan Language. APSIPA 2019: 1152-1156 - [c23]Soky Kak, Sheng Li, Tatsuya Kawahara, Sopheap Seng:
Multi-lingual Transformer Training for Khmer Automatic Speech Recognition. APSIPA 2019: 1893-1896 - [c22]Peng Shen, Xugang Lu, Sheng Li, Hisashi Kawai:
Interactive Learning of Teacher-student Model for Short Utterance Spoken Language Identification. ICASSP 2019: 5981-5985 - [c21]Ryoichi Takashima, Sheng Li, Hisashi Kawai:
Investigation of Sequence-level Knowledge Distillation Methods for CTC Acoustic Models. ICASSP 2019: 6156-6160 - [c20]Sheng Li, Chenchen Ding, Xugang Lu, Peng Shen, Tatsuya Kawahara, Hisashi Kawai:
End-to-End Articulatory Attribute Modeling for Low-Resource Multilingual Speech Recognition. INTERSPEECH 2019: 2145-2149 - [c19]Sheng Li, Xugang Lu, Chenchen Ding, Peng Shen, Tatsuya Kawahara, Hisashi Kawai:
Investigating Radical-Based End-to-End Speech Recognition Systems for Chinese Dialects and Japanese. INTERSPEECH 2019: 2200-2204 - [c18]Xugang Lu, Peng Shen, Sheng Li, Yu Tsao, Hisashi Kawai:
Class-Wise Centroid Distance Metric Learning for Acoustic Event Detection. INTERSPEECH 2019: 3614-3618 - [c17]Sheng Li, Raj Dabre, Xugang Lu, Peng Shen, Tatsuya Kawahara, Hisashi Kawai:
Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation. INTERSPEECH 2019: 4400-4404 - [i1]Xugang Lu, Peng Shen, Sheng Li, Yu Tsao, Hisashi Kawai:
Deep progressive multi-scale attention for acoustic event classification. CoRR abs/1912.12011 (2019) - 2018
- [c16]Ryoichi Takashima, Sheng Li, Hisashi Kawai:
An Investigation of a Knowledge Distillation Method for CTC Acoustic Models. ICASSP 2018: 5809-5813 - [c15]Ryoichi Takashima, Sheng Li, Hisashi Kawai:
CTC Loss Function with a Unit-Level Ambiguity Penalty. ICASSP 2018: 5909-5913 - [c14]Xugang Lu, Peng Shen, Sheng Li, Yu Tsao, Hisashi Kawai:
Temporal Attentive Pooling for Acoustic Event Detection. INTERSPEECH 2018: 1354-1357 - [c13]Peng Shen, Xugang Lu, Sheng Li, Hisashi Kawai:
Feature Representation of Short Utterances Based on Knowledge Distillation for Spoken Language Identification. INTERSPEECH 2018: 1813-1817 - [c12]Sheng Li, Xugang Lu, Ryoichi Takashima, Peng Shen, Tatsuya Kawahara, Hisashi Kawai:
Improving CTC-based Acoustic Model with Very Deep Residual Time-delay Neural Networks. INTERSPEECH 2018: 3708-3712 - [c11]Sheng Li, Xugang Lu, Ryoichi Takashima, Peng Shen, Tatsuya Kawahara, Hisashi Kawai:
Improving Very Deep Time-Delay Neural Network With Vertical-Attention For Effectively Training CTC-Based ASR Systems. SLT 2018: 77-83 - 2017
- [c10]Sheng Li, Xugang Lu, Peng Shen, Ryoichi Takashima, Tatsuya Kawahara, Hisashi Kawai:
Incremental training and constructing the very deep convolutional residual network acoustic models. ASRU 2017: 222-227 - [c9]Sheng Li, Xugang Lu, Shinsuke Sakai, Masato Mimura, Tatsuya Kawahara:
Semi-supervised ensemble DNN acoustic model training. ICASSP 2017: 5270-5274 - [c8]Peng Shen, Xugang Lu, Sheng Li, Hisashi Kawai:
Conditional Generative Adversarial Nets Classifier for Spoken Language Identification. INTERSPEECH 2017: 2814-2818 - 2016
- [b1]Sheng Li:
Speech Recognition Enhanced by Lightly-supervised and Semi-supervised Acoustic Model Training. Kyoto University, Japan, 2016 - [j3]Sheng Li, Yuya Akita, Tatsuya Kawahara:
Semi-Supervised Acoustic Model Training by Discriminative Data Selection From Multiple ASR Systems' Hypotheses. IEEE ACM Trans. Audio Speech Lang. Process. 24(9): 1524-1534 (2016) - [c7]Sheng Li, Yuya Akita, Tatsuya Kawahara:
Data selection from multiple ASR systems' hypotheses for unsupervised acoustic model training. ICASSP 2016: 5875-5879 - [c6]Sheng Li, Xugang Lu, Shinsuke Mori, Yuya Akita, Tatsuya Kawahara:
Confidence estimation for speech recognition systems using conditional random fields trained with partially annotated data. ISCSLP 2016: 1-5 - 2015
- [j2]Sheng Li, Yuya Akita, Tatsuya Kawahara:
Automatic Lecture Transcription Based on Discriminative Data Selection for Lightly Supervised Acoustic Model Training. IEICE Trans. Inf. Syst. 98-D(8): 1545-1552 (2015) - [c5]Sheng Li, Xugang Lu, Yuya Akita, Tatsuya Kawahara:
Ensemble speaker modeling using speaker adaptive training deep neural network for speaker adaptation. INTERSPEECH 2015: 2892-2896 - [c4]Sheng Li, Yuya Akita, Tatsuya Kawahara:
Discriminative data selection for lightly supervised training of acoustic model using closed caption texts. INTERSPEECH 2015: 3526-3530 - 2014
- [c3]Sheng Li, Yuya Akita, Tatsuya Kawahara:
Corpus and transcription system of Chinese Lecture Room. ISCSLP 2014: 442-445 - 2012
- [j1]Lan Wang, Hui Chen, Sheng Li, Helen M. Meng:
Phoneme-level articulatory animation in pronunciation training. Speech Commun. 54(7): 845-856 (2012) - [c2]Sheng Li, Lan Wang:
Cross Linguistic Comparison of Mandarin and English EMA Articulatory Data. INTERSPEECH 2012: 903-906 - 2011
- [c1]Sheng Li, Lan Wang, En Qi:
The Phoneme-Level Articulator Dynamics for Pronunciation Animation. IALP 2011: 283-286
Coauthor Index
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