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20172023
most citedGigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

216 citations · 298 across the 28 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.SD2021★ 1 cited

Improving Emotional Speech Synthesis by Using SUS-Constrained VAE and Text Encoder Aggregation

Fengyu Yang, Jian Luan, Yujun Wang

Learning emotion embedding from reference audio is a straightforward approach for multi-emotion speech synthesis in encoder-decoder systems. But how to get better emotion embedding…

cs.SD2021

PAMA-TTS: Progression-Aware Monotonic Attention for Stable Seq2Seq TTS With Accurate Phoneme Duration Control

Yunchao He, Jian Luan, Yujun Wang

Sequence expansion between encoder and decoder is a critical challenge in sequence-to-sequence TTS. Attention-based methods achieve great naturalness but suffer from unstable issue…

cs.SD2021★ 1 cited

A Separable Temporal Convolution Neural Network with Attention for Small-Footprint Keyword Spotting

Shenghua Hu, Jing Wang, Yujun Wang +2

Keyword spotting (KWS) on mobile devices generally requires a small memory footprint. However, most current models still maintain a large number of parameters in order to ensure go…

cs.SD2021

Separable Temporal Convolution plus Temporally Pooled Attention for Lightweight High-performance Keyword Spotting

Shenghua Hu, Jing Wang, Yujun Wang +1

Keyword spotting (KWS) on mobile devices generally requires a small memory footprint. However, most current models still maintain a large number of parameters in order to ensure go…

cs.SD2021

Multi-channel Speech Enhancement with 2-D Convolutional Time-frequency Domain Features and a Pre-trained Acoustic Model

Quandong Wang, Junnan Wu, Zhao Yan +6

We propose a multi-channel speech enhancement approach with a novel two-stage feature fusion method and a pre-trained acoustic model in a multi-task learning paradigm. In the first…

cs.SD2021★ 1 cited

Msdtron: a high-capability multi-speaker speech synthesis system for diverse data using characteristic information

Qinghua Wu, Quanbo Shen, Jian Luan +1

In multi-speaker speech synthesis, data from a number of speakers usually tend to have great diversity due to the fact that the speakers may differ largely in ages, speaking styles…

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…