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Samik Sadhu
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2020 – today
- 2023
- [c10]Samik Sadhu, Hynek Hermansky
:
Importance of Different Temporal Modulations of Speech: a Tale of two Perspectives. ICASSP 2023: 1-5 - [i8]Martin Sustek, Samik Sadhu, Lukás Burget, Hynek Hermansky
, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Stabilized training of joint energy-based models and their practical applications. CoRR abs/2303.04187 (2023) - [i7]Samik Sadhu, Hynek Hermansky
:
Self-supervised Learning with Speech Modulation Dropout. CoRR abs/2303.12908 (2023) - 2022
- [c9]Martin Sustek, Samik Sadhu, Hynek Hermansky
:
Dealing with Unknowns in Continual Learning for End-to-end Automatic Speech Recognition. INTERSPEECH 2022: 1046-1050 - [c8]Samik Sadhu, Hynek Hermansky
:
Complex Frequency Domain Linear Prediction: A Tool to Compute Modulation Spectrum of Speech. INTERSPEECH 2022: 3208-3212 - [i6]Samik Sadhu, Hynek Hermansky
:
Complex Frequency Domain Linear Prediction: A Tool to Compute Modulation Spectrum of Speech. CoRR abs/2203.13216 (2022) - [i5]Samik Sadhu, Hynek Hermansky
:
Importance of Different Temporal Modulations of Speech: A Tale of Two Perspectives. CoRR abs/2204.00065 (2022) - [i4]Samik Sadhu, Hynek Hermansky
:
Blind Signal Dereverberation for Machine Speech Recognition. CoRR abs/2210.00117 (2022) - 2021
- [c7]Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas:
wav2vec-C: A Self-Supervised Model for Speech Representation Learning. Interspeech 2021: 711-715 - [c6]Samik Sadhu, Hynek Hermansky
:
Radically Old Way of Computing Spectra: Applications in End-to-End ASR. Interspeech 2021: 1424-1428 - [i3]Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas:
Wav2vec-C: A Self-supervised Model for Speech Representation Learning. CoRR abs/2103.08393 (2021) - [i2]Samik Sadhu, Hynek Hermansky:
Radically Old Way of Computing Spectra: Applications in End-to-End ASR. CoRR abs/2103.14129 (2021) - 2020
- [c5]Samik Sadhu, Hynek Hermansky
:
Continual Learning in Automatic Speech Recognition. INTERSPEECH 2020: 1246-1250
2010 – 2019
- 2019
- [c4]Samik Sadhu, Ruizhi Li, Hynek Hermansky
:
M-vectors: Sub-band Based Energy Modulation Features for Multi-stream Automatic Speech Recognition. ICASSP 2019: 6545-6549 - [c3]Xiaofei Wang, Jinyi Yang, Ruizhi Li, Samik Sadhu, Hynek Hermansky
:
Exploring Methods for the Automatic Detection of Errors in Manual Transcription. INTERSPEECH 2019: 3003-3007 - [c2]Samik Sadhu, Hynek Hermansky
:
Modulation Vectors as Robust Feature Representation for ASR in Domain Mismatched Conditions. INTERSPEECH 2019: 3441-3445 - [i1]Xiaofei Wang, Jinyi Yang, Ruizhi Li, Samik Sadhu, Hynek Hermansky:
Exploring Methods for the Automatic Detection of Errors in Manual Transcription. CoRR abs/1904.04294 (2019) - 2017
- [c1]Samik Sadhu, Prasanta Kumar Ghosh:
Low resource point process models for keyword spotting using unsupervised online learning. EUSIPCO 2017: 538-542
Coauthor Index
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