55 citations · 126 across the 10 of their papers we have counts for
12 papers
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,…
Low-Resource Adaptation of Open-Domain Generative Chatbots
Greyson Gerhard-Young, Raviteja Anantha, Srinivas Chappidi +1
Recent work building open-domain chatbots has demonstrated that increasing model size improves performance. On the other hand, latency and connectivity considerations dictate the m…
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…
End-to-end Anchored Speech Recognition
Yiming Wang, Xing Fan, I-Fan Chen +3
Voice-controlled house-hold devices, like Amazon Echo or Google Home, face the problem of performing speech recognition of device-directed speech in the presence of interfering bac…
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…
Scalable language model adaptation for spoken dialogue systems
Ankur Gandhe, Ariya Rastrow, Bjorn Hoffmeister
Language models (LM) for interactive speech recognition systems are trained on large amounts of data and the model parameters are optimized on past user data. New application inten…
LSTM-based Whisper Detection
Zeynab Raeesy, Kellen Gillespie, Zhenpei Yang +6
This article presents a whisper speech detector in the far-field domain. The proposed system consists of a long-short term memory (LSTM) neural network trained on log-filterbank en…
Device-directed Utterance Detection
Sri Harish Mallidi, Roland Maas, Kyle Goehner +3
In this work, we propose a classifier for distinguishing device-directed queries from background speech in the context of interactions with voice assistants. Applications include r…
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding
Anjishnu Kumar, Arpit Gupta, Julian Chan +9
This paper presents the design of the machine learning architecture that underlies the Alexa Skills Kit (ASK) a large scale Spoken Language Understanding (SLU) Software Development…