40 citations · 180 across the 45 of their papers we have counts for
8 papers · 1 filter
TESSP: Text-Enhanced Self-Supervised Speech Pre-training
Zhuoyuan Yao, Shuo Ren, Sanyuan Chen +3
Self-supervised speech pre-training empowers the model with the contextual structure inherent in the speech signal while self-supervised text pre-training empowers the model with l…
Distinguishable Speaker Anonymization based on Formant and Fundamental Frequency Scaling
Jixun Yao, Qing Wang, Yi Lei +4
Speech data on the Internet are proliferating exponentially because of the emergence of social media, and the sharing of such personal data raises obvious security and privacy conc…
Preserving background sound in noise-robust voice conversion via multi-task learning
Jixun Yao, Yi Lei, Qing Wang +6
Background sound is an informative form of art that is helpful in providing a more immersive experience in real-application voice conversion (VC) scenarios. However, prior research…
MFCCA:Multi-Frame Cross-Channel attention for multi-speaker ASR in Multi-party meeting scenario
Fan Yu, Shiliang Zhang, Pengcheng Guo +4
Recently cross-channel attention, which better leverages multi-channel signals from microphone array, has shown promising results in the multi-party meeting scenario. Cross-channel…
NWPU-ASLP System for the VoicePrivacy 2022 Challenge
Jixun Yao, Qing Wang, Li Zhang +3
This paper presents the NWPU-ASLP speaker anonymization system for VoicePrivacy 2022 Challenge. Our submission does not involve additional Automatic Speaker Verification (ASV) mode…
Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism
Kun Wei, Pengcheng Guo, Ning Jiang
Transformer-based models have demonstrated their effectiveness in automatic speech recognition (ASR) tasks and even shown superior performance over the conventional hybrid framewor…
Linguistic-Acoustic Similarity Based Accent Shift for Accent Recognition
Qijie Shao, Jinghao Yan, Jian Kang +4
General accent recognition (AR) models tend to directly extract low-level information from spectrums, which always significantly overfit on speakers or channels. Considering accent…
Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge
Fan Yu, Shiliang Zhang, Pengcheng Guo +13
The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Challenge (M2MeT) focuses on one of the most valuable and the most challenging scenarios of speech technologie…