55 citations · 126 across the 10 of their papers we have counts for
6 papers · 1 filter
Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition
David M. Chan, Shalini Ghosh, Ariya Rastrow +1
Despite improvements to the generalization performance of automated speech recognition (ASR) models, specializing ASR models for downstream tasks remains a challenging task, primar…
Multi-Modal Pre-Training for Automated Speech Recognition
David M. Chan, Shalini Ghosh, Debmalya Chakrabarty +1
Traditionally, research in automated speech recognition has focused on local-first encoding of audio representations to predict the spoken phonemes in an utterance. Unfortunately,…
DiPCo -- Dinner Party Corpus
Maarten Van Segbroeck, Ahmed Zaid, Ksenia Kutsenko +7
We present a speech data corpus that simulates a "dinner party" scenario taking place in an everyday home environment. The corpus was created by recording multiple groups of four A…
Multi-Geometry Spatial Acoustic Modeling for Distant Speech Recognition
Kenichi Kumatani, Minhua Wu, Shiva Sundaram +2
The use of spatial information with multiple microphones can improve far-field automatic speech recognition (ASR) accuracy. However, conventional microphone array techniques degrad…
Frequency Domain Multi-channel Acoustic Modeling for Distant Speech Recognition
Minhua Wu, Kenichi Kumatani, Shiva Sundaram +2
Conventional far-field automatic speech recognition (ASR) systems typically employ microphone array techniques for speech enhancement in order to improve robustness against noise o…
Improving noise robustness of automatic speech recognition via parallel data and teacher-student learning
Ladislav Mošner, Minhua Wu, Anirudh Raju +5
For real-world speech recognition applications, noise robustness is still a challenge. In this work, we adopt the teacher-student (T/S) learning technique using a parallel clean an…