58 citations · 70 across the 3 of their papers we have counts for
5 papers
DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization
Shaoshi Ling, Yuzong Liu
Recent success in speech representation learning enables a new way to leverage unlabeled data to train speech recognition model. In speech representation learning, a large amount o…
Transformer-Transducers for Code-Switched Speech Recognition
Siddharth Dalmia, Yuzong Liu, Srikanth Ronanki +1
We live in a world where 60% of the population can speak two or more languages fluently. Members of these communities constantly switch between languages when having a conversation…
Streaming Language Identification using Combination of Acoustic Representations and ASR Hypotheses
Chander Chandak, Zeynab Raeesy, Ariya Rastrow +5
This paper presents our modeling and architecture approaches for building a highly accurate low-latency language identification system to support multilingual spoken queries for vo…
Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition
Shaoshi Ling, Yuzong Liu, Julian Salazar +1
We propose a novel approach to semi-supervised automatic speech recognition (ASR). We first exploit a large amount of unlabeled audio data via representation learning, where we rec…
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…