| 2023 | ICASSP | Importance of Different Temporal Modulations of Speech: a Tale of two Perspectives. | Samik Sadhu, Hynek Hermansky |
| 2022 | Interspeech | Complex Frequency Domain Linear Prediction: A Tool to Compute Modulation Spectrum of Speech. | Samik Sadhu, Hynek Hermansky |
| 2022 | Interspeech | Dealing with Unknowns in Continual Learning for End-to-end Automatic Speech Recognition. | Martin Sustek, Samik Sadhu, Hynek Hermansky |
| 2021 | Interspeech | Radically Old Way of Computing Spectra: Applications in End-to-End ASR. | Samik Sadhu, Hynek Hermansky |
| 2021 | Interspeech | wav2vec-C: A Self-Supervised Model for Speech Representation Learning. | Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas |
| 2020 | Interspeech | Continual Learning in Automatic Speech Recognition. | Samik Sadhu, Hynek Hermansky |
| 2019 | ICASSP | M-vectors: Sub-band Based Energy Modulation Features for Multi-stream Automatic Speech Recognition. | Samik Sadhu, Ruizhi Li, Hynek Hermansky |
| 2019 | Interspeech | Modulation Vectors as Robust Feature Representation for ASR in Domain Mismatched Conditions. | Samik Sadhu, Hynek Hermansky |
| 2019 | Interspeech | Exploring Methods for the Automatic Detection of Errors in Manual Transcription. | Xiaofei Wang, Jinyi Yang, Ruizhi Li, Samik Sadhu, Hynek Hermansky |