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ORCIDSri Harsha Dumpala
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2020 – today
- 2024
[c19]Dushyant Sharma, James Fosburgh, Sri Harsha Dumpala, Chandramouli Shama Sastri, Stanislav Yu. Kruchinin, Patrick A. Naylor:
XANE Background Acoustic Embeddings: Ablation and Clustering Analysis. IWAENC 2024: 270-273- [i14]Sri Harsha Dumpala, Chandramouli Shama Sastry, Rudolf Uher, Sageev Oore:
Test-Time Training for Depression Detection. CoRR abs/2404.05071 (2024) - [i13]Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Shama Sastry, Evangelos E. Milios, Sageev Oore, Hassan Sajjad:
VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations. CoRR abs/2404.16365 (2024) - [i12]Sri Harsha Dumpala, Dushyant Sharma, Chandramouli Shama Sastri, Stanislav Yu. Kruchinin, James Fosburgh, Patrick A. Naylor:
XANE: eXplainable Acoustic Neural Embeddings. CoRR abs/2406.05199 (2024) - [i11]Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Shama Sastry, Evangelos E. Milios, Sageev Oore, Hassan Sajjad:
SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations. CoRR abs/2406.11171 (2024) - [i10]Sebastian Rodriguez, Sri Harsha Dumpala, Katerina Dikaios, Sheri Rempel, Rudolf Uher, Sageev Oore:
Predicting Individual Depression Symptoms from Acoustic Features During Speech. CoRR abs/2406.16000 (2024) - [i9]Sri Harsha Dumpala, Katerina Dikaios, Abraham Nunes, Frank Rudzicz, Rudolf Uher, Sageev Oore:
Self-Supervised Embeddings for Detecting Individual Symptoms of Depression. CoRR abs/2406.17229 (2024) - 2023
- [i8]Chandramouli Shama Sastry, Sri Harsha Dumpala, Sageev Oore:
Training Diffusion Classifiers with Denoising Assistance. CoRR abs/2306.09192 (2023) - [i7]Sri Harsha Dumpala, Chandramouli Shama Sastry, Sageev Oore:
Test-Time Training for Speech. CoRR abs/2309.10930 (2023) - 2022
- [c18]Sri Harsha Dumpala, Chandramouli Shama Sastry, Rudolf Uher, Sageev Oore:
On Combining Global and Localized Self-Supervised Models of Speech. INTERSPEECH 2022: 3593-3597 - 2021
- [c17]Sri Harsha Dumpala, Sageev Oore:
Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion. Canadian AI 2021 - [c16]Sri Harsha Dumpala, Sheri Rempel, Katerina Dikaios, Mehri Sajjadian
, Rudolf Uher, Sageev Oore:
Estimating Severity of Depression From Acoustic Features and Embeddings of Natural Speech. ICASSP 2021: 7278-7282 - [c15]Sri Harsha Dumpala, Rudolf Uher, Stan Matwin, Michael Kiefte, Sageev Oore:
Sine-Wave Speech and Privacy-Preserving Depression Detection. SMM 2021 - [i6]Sri Harsha Dumpala, Sebastian Rodriguez, Sheri Rempel, Rudolf Uher, Sageev Oore:
Significance of Speaker Embeddings and Temporal Context for Depression Detection. CoRR abs/2107.13969 (2021) - [i5]Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Dani Oore, Sageev Oore:
Musical Speech: A Transformer-based Composition Tool. CoRR abs/2108.01043 (2021) - 2020
- [c14]Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Daniel Oore, Sageev Oore:
Musical Speech: A Transformer-based Composition Tool. NeurIPS (Competition and Demos) 2020: 253-274
2010 – 2019
- 2019
- [c13]Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks. ICASSP 2019: 5726-5730 - [c12]Bhanu Teja Nellore, Sri Harsha Dumpala, Karan Nathwani, Suryakanth V. Gangashetty:
Excitation Source and Vocal Tract System Based Acoustic Features for Detection of Nasals in Continuous Speech. INTERSPEECH 2019: 166-170 - [c11]Swapnil Bhosale, Imran A. Sheikh, Sri Harsha Dumpala, Sunil Kumar Kopparapu:
End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios. INTERSPEECH 2019: 1188-1192 - [i4]Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications. CoRR abs/1912.11151 (2019) - 2018
- [c10]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Knowledge-Driven Feed-Forward Neural Network for Audio Affective Content Analysis. AAAI Workshops 2018: 16-20 - [c9]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios. IJCAI 2018: 2100-2106 - [c8]Sri Harsha Dumpala, Ashish Panda, Sunil Kumar Kopparapu:
Analysis of the Effect of Speech-Laugh on Speaker Recognition System. INTERSPEECH 2018: 1751-1755 - [c7]Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Sentiment Classification on Erroneous ASR Transcripts: A Multi View Learning Approach. SLT 2018: 807-814 - 2017
- [c6]Sri Harsha Dumpala, Sunil Kumar Kopparapu:
Improved speaker recognition system for stressed speech using deep neural networks. IJCNN 2017: 1257-1264 - [c5]Sri Harsha Dumpala, K. N. R. K. Raju Alluri:
An Algorithm for Detection of Breath Sounds in Spontaneous Speech with Application to Speaker Recognition. SPECOM 2017: 98-108 - [i3]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
k-FFNN: A priori knowledge infused Feed-forward Neural Networks. CoRR abs/1704.07055 (2017) - [i2]Sri Harsha Dumpala, Ashish Panda, Sunil Kumar Kopparapu:
Improved I-vector-based Speaker Recognition for Utterances with Speaker Generated Non-speech sounds. CoRR abs/1705.09289 (2017) - [i1]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Approach for Effective Learning in Low Resourced Scenarios. CoRR abs/1712.05608 (2017) - 2016
- [c4]Sri Harsha Dumpala, Bhanu Teja Nellore, Raghu Ram Nevali, Suryakanth V. Gangashetty, B. Yegnanarayana:
Robust Vowel Landmark Detection Using Epoch-Based Features. INTERSPEECH 2016: 160-164 - [c3]Sri Harsha Dumpala, P. Gangamohan, Suryakanth V. Gangashetty, B. Yegnanarayana:
Use of Vowels in Discriminating Speech-Laugh from Laughter and Neutral Speech. INTERSPEECH 2016: 1437-1441 - 2015
- [c2]Sri Harsha Dumpala, Bhanu Teja Nellore, Raghu Ram Nevali, Suryakanth V. Gangashetty, Bayya Yegnanarayana:
Robust features for sonorant segmentation in continuous speech. INTERSPEECH 2015: 1987-1991 - 2014
- [c1]Sri Harsha Dumpala, Karthik Venkat Sridaran, Suryakanth V. Gangashetty, B. Yegnanarayana:
Analysis of laughter and speech-laugh signals using excitation source information. ICASSP 2014: 975-979
Coauthor Index
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