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20192025
most citedReplay and Synthetic Speech Detection with Res2net Architecture

18 citations · 84 across the 27 of their papers we have counts for

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Showing 2020Show all

12 papers · 1 filter

cs.SD2020★ 10 cited

Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training

Haohan Guo, Heng Lu, Na Hu +5

This paper describes an end-to-end adversarial singing voice conversion (EA-SVC) approach. It can directly generate arbitrary singing waveform by given phonetic posteriorgram (PPG)…

eess.AS2020★ 2 cited

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

Songxiang Liu, Yuewen Cao, Na Hu +2

This paper presents FastSVC, a light-weight cross-domain singing voice conversion (SVC) system, which can achieve high conversion performance, with inference speed 4x faster than r…

cs.SD2020★ 4 cited

Non-Autoregressive Transformer ASR with CTC-Enhanced Decoder Input

Xingchen Song, Zhiyong Wu, Yiheng Huang +3

Non-autoregressive (NAR) transformer models have achieved significantly inference speedup but at the cost of inferior accuracy compared to autoregressive (AR) models in automatic s…

eess.AS2020★ 18 cited

Replay and Synthetic Speech Detection with Res2net Architecture

Xu Li, Na Li, Chao Weng +4

Existing approaches for replay and synthetic speech detection still lack generalizability to unseen spoofing attacks. This work proposes to leverage a novel model structure, so-cal…

eess.AS2020★ 1 cited

Learned Transferable Architectures Can Surpass Hand-Designed Architectures for Large Scale Speech Recognition

Liqiang He, Dan Su, Dong Yu

In this paper, we explore the neural architecture search (NAS) for automatic speech recognition (ASR) systems. With reference to the previous works in the computer vision field, th…

eess.AS2020★ 1 cited

Distortionless Multi-Channel Target Speech Enhancement for Overlapped Speech Recognition

Bo Wu, Meng Yu, Lianwu Chen +4

Speech enhancement techniques based on deep learning have brought significant improvement on speech quality and intelligibility. Nevertheless, a large gain in speech quality measur…