activity
20172026
most citedSpeaker Adaptation for Attention-Based End-to-End Speech Recognition

41 citations · 149 across the 46 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CL2022

Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition

Yashesh Gaur, Nick Kibre, Jian Xue +5

Automatic Speech Recognition (ASR) systems typically yield output in lexical form. However, humans prefer a written form output. To bridge this gap, ASR systems usually employ Inve…

cs.CL2022★ 1 cited

LAMASSU: Streaming Language-Agnostic Multilingual Speech Recognition and Translation Using Neural Transducers

Peidong Wang, Eric Sun, Jian Xue +5

Automatic speech recognition (ASR) and speech translation (ST) can both use neural transducers as the model structure. It is thus possible to use a single transducer model to perfo…

eess.AS2022★ 1 cited

Acoustic-aware Non-autoregressive Spell Correction with Mask Sample Decoding

Ruchao Fan, Guoli Ye, Yashesh Gaur +1

Masked language model (MLM) has been widely used for understanding tasks, e.g. BERT. Recently, MLM has also been used for generation tasks. The most popular one in speech is using…

eess.AS2022

CTCBERT: Advancing Hidden-unit BERT with CTC Objectives

Ruchao Fan, Yiming Wang, Yashesh Gaur +1

In this work, we present a simple but effective method, CTCBERT, for advancing hidden-unit BERT (HuBERT). HuBERT applies a frame-level cross-entropy (CE) loss, which is similar to…

cs.CL2022

Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

Jian Xue, Peidong Wang, Jinyu Li +2

Neural transducers have been widely used in automatic speech recognition (ASR). In this paper, we introduce it to streaming end-to-end speech translation (ST), which aims to conver…

eess.AS2022

Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings

Naoyuki Kanda, Jian Wu, Yu Wu +7

This paper presents a streaming speaker-attributed automatic speech recognition (SA-ASR) model that can recognize ``who spoke what'' with low latency even when multiple people are…