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20112024
most citedGigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

216 citations · 521 across the 32 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.SD2021★ 10 cited

Lhotse: a speech data representation library for the modern deep learning ecosystem

Piotr Żelasko, Daniel Povey, Jan "Yenda" Trmal +1

Speech data is notoriously difficult to work with due to a variety of codecs, lengths of recordings, and meta-data formats. We present Lhotse, a speech data representation library…

cs.SD2021★ 216 cited

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Guoguo Chen, Shuzhou Chai, Guanbo Wang +18

This paper introduces GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and…

cs.CL2021★ 2 cited

speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment

Junbo Zhang, Zhiwen Zhang, Yongqing Wang +6

This paper introduces a new open-source speech corpus named "speechocean762" designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native sp…

cs.SD2021

An Asynchronous WFST-Based Decoder For Automatic Speech Recognition

Hang Lv, Zhehuai Chen, Hainan Xu +3

We introduce asynchronous dynamic decoder, which adopts an efficient A* algorithm to incorporate big language models in the one-pass decoding for large vocabulary continuous speech…

eess.AS2021

A Parallelizable Lattice Rescoring Strategy with Neural Language Models

Ke Li, Daniel Povey, Sanjeev Khudanpur

This paper proposes a parallel computation strategy and a posterior-based lattice expansion algorithm for efficient lattice rescoring with neural language models (LMs) for automati…

cs.CL2021★ 3 cited

Wake Word Detection with Streaming Transformers

Yiming Wang, Hang Lv, Daniel Povey +2

Modern wake word detection systems usually rely on neural networks for acoustic modeling. Transformers has recently shown superior performance over LSTM and convolutional networks…