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

216 citations · 540 across the 33 of their papers we have counts for

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Showing 2021Show all

12 papers · 1 filter

cs.AI2021★ 2 cited

Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMI

Jinchuan Tian, Jianwei Yu, Chao Weng +4

Recently, End-to-End (E2E) frameworks have achieved remarkable results on various Automatic Speech Recognition (ASR) tasks. However, Lattice-Free Maximum Mutual Information (LF-MMI…

eess.AS2021

SpeechMoE2: Mixture-of-Experts Model with Improved Routing

Zhao You, Shulin Feng, Dan Su +1

Mixture-of-experts based acoustic models with dynamic routing mechanisms have proved promising results for speech recognition. The design principle of router architecture is import…

eess.AS2021★ 8 cited

Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning

Songxiang Liu, Dan Su, Dong Yu

The task of few-shot style transfer for voice cloning in text-to-speech (TTS) synthesis aims at transferring speaking styles of an arbitrary source speaker to a target speaker's vo…

cs.SD2021★ 3 cited

Simple Attention Module based Speaker Verification with Iterative noisy label detection

Xiaoyi Qin, Na Li, Chao Weng +2

Recently, the attention mechanism such as squeeze-and-excitation module (SE) and convolutional block attention module (CBAM) has achieved great success in deep learning-based speak…

cs.LG2021★ 11 cited

Bilateral Denoising Diffusion Models

Max W. Y. Lam, Jun Wang, Rongjie Huang +2

Denoising diffusion probabilistic models (DDPMs) have emerged as competitive generative models yet brought challenges to efficient sampling. In this paper, we propose novel bilater…

cs.IR2021★ 2 cited

AppQ: Warm-starting App Recommendation Based on View Graphs

Dan Su, Jiqiang Liu, Sencun Zhu +3

Current app ranking and recommendation systems are mainly based on user-generated information, e.g., number of downloads and ratings. However, new apps often have few (or even no)…