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03/22/2023
Self-supervised Learning with Speech Modulation Dropout
We show that training a multi-headed self-attention-based deep network t...
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03/07/2023
Stabilized training of joint energy-based models and their practical applications
The recently proposed Joint Energy-based Model (JEM) interprets discrimi...
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09/30/2022
Blind Signal Dereverberation for Machine Speech Recognition
We present a method to remove unknown convolutive noise introduced to sp...
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03/31/2022
Importance of Different Temporal Modulations of Speech: A Tale of Two Perspectives
How important are different temporal speech modulations for speech recog...
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03/24/2022
Complex Frequency Domain Linear Prediction: A Tool to Compute Modulation Spectrum of Speech
Conventional Frequency Domain Linear Prediction (FDLP) technique models ...
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03/25/2021
Radically Old Way of Computing Spectra: Applications in End-to-End ASR
We propose a technique to compute spectrograms using Frequency Domain Li...
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03/09/2021
Wav2vec-C: A Self-supervised Model for Speech Representation Learning
Wav2vec-C introduces a novel representation learning technique combining...
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04/08/2019