62 citations · 655 across the 97 of their papers we have counts for
53 papers · 1 filter
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…
Audio-visual speech separation based on joint feature representation with cross-modal attention
Junwen Xiong, Peng Zhang, Lei Xie +3
Multi-modal based speech separation has exhibited a specific advantage on isolating the target character in multi-talker noisy environments. Unfortunately, most of current separati…
Learn2Sing 2.0: Diffusion and Mutual Information-Based Target Speaker SVS by Learning from Singing Teacher
Heyang Xue, Xinsheng Wang, Yongmao Zhang +3
Building a high-quality singing corpus for a person who is not good at singing is non-trivial, thus making it challenging to create a singing voice synthesizer for this person. Lea…
Look\&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement
Junwen Xiong, Yu Zhou, Peng Zhang +3
Active speaker detection and speech enhancement have become two increasingly attractive topics in audio-visual scenario understanding. According to their respective characteristics…
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…
Multi-Task Deep Residual Echo Suppression with Echo-aware Loss
Shimin Zhang, Ziteng Wang, Jiayao Sun +4
This paper introduces the NWPU Team's entry to the ICASSP 2022 AEC Challenge. We take a hybrid approach that cascades a linear AEC with a neural post-filter. The former is used to…
Conversational Speech Recognition By Learning Conversation-level Characteristics
Kun Wei, Yike Zhang, Sining Sun +2
Conversational automatic speech recognition (ASR) is a task to recognize conversational speech including multiple speakers. Unlike sentence-level ASR, conversational ASR can natura…
Noise-robust voice conversion with domain adversarial training
Hongqiang Du, Lei Xie, Haizhou Li
Voice conversion has made great progress in the past few years under the studio-quality test scenario in terms of speech quality and speaker similarity. However, in real applicatio…
Disentangling Style and Speaker Attributes for TTS Style Transfer
Xiaochun An, Frank K. Soong, Lei Xie
End-to-end neural TTS has shown improved performance in speech style transfer. However, the improvement is still limited by the available training data in both target styles and sp…
Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis
Yu Wang, Xinsheng Wang, Pengcheng Zhu +6
This paper introduces Opencpop, a publicly available high-quality Mandarin singing corpus designed for singing voice synthesis (SVS). The corpus consists of 100 popular Mandarin so…
MsEmoTTS: Multi-scale emotion transfer, prediction, and control for emotional speech synthesis
Yi Lei, Shan Yang, Xinsheng Wang +1
Expressive synthetic speech is essential for many human-computer interaction and audio broadcast scenarios, and thus synthesizing expressive speech has attracted much attention in…
Duality Temporal-channel-frequency Attention Enhanced Speaker Representation Learning
Li Zhang, Qing Wang, Lei Xie
The use of channel-wise attention in CNN based speaker representation networks has achieved remarkable performance in speaker verification (SV). But these approaches do simple aver…
M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
Fan Yu, Shiliang Zhang, Yihui Fu +9
Recent development of speech processing, such as speech recognition, speaker diarization, etc., has inspired numerous applications of speech technologies. The meeting scenario is o…
WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
Binbin Zhang, Hang Lv, Pengcheng Guo +9
In this paper, we present WenetSpeech, a multi-domain Mandarin corpus consisting of 10000+ hours high-quality labeled speech, 2400+ hours weakly labeled speech, and about 10000 hou…
Beijing ZKJ-NPU Speaker Verification System for VoxCeleb Speaker Recognition Challenge 2021
Li Zhang, Huan Zhao, Qinling Meng +3
In this report, we describe the Beijing ZKJ-NPU team submission to the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC-21). We participated in the fully supervised speaker veri…
Improving robustness of one-shot voice conversion with deep discriminative speaker encoder
Hongqiang Du, Lei Xie
One-shot voice conversion has received significant attention since only one utterance from source speaker and target speaker respectively is required. Moreover, source speaker and…
Improving Performance of Seen and Unseen Speech Style Transfer in End-to-end Neural TTS
Xiaochun An, Frank K. Soong, Lei Xie
End-to-end neural TTS training has shown improved performance in speech style transfer. However, the improvement is still limited by the training data in both target styles and spe…
Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification
Li Zhang, Qing Wang, Kong Aik Lee +2
In far-field speaker verification, the performance of speaker embeddings is susceptible to degradation when there is a mismatch between the conditions of enrollment and test speech…
Efficient Conformer with Prob-Sparse Attention Mechanism for End-to-EndSpeech Recognition
Xiong Wang, Sining Sun, Lei Xie +1
End-to-end models are favored in automatic speech recognition (ASR) because of their simplified system structure and superior performance. Among these models, Transformer and Confo…
F-T-LSTM based Complex Network for Joint Acoustic Echo Cancellation and Speech Enhancement
Shimin Zhang, Yuxiang Kong, Shubo Lv +2
With the increasing demand for audio communication and online conference, ensuring the robustness of Acoustic Echo Cancellation (AEC) under the complicated acoustic scenario includ…
Boundary and Context Aware Training for CIF-based Non-Autoregressive End-to-end ASR
Fan Yu, Haoneng Luo, Pengcheng Guo +6
Continuous integrate-and-fire (CIF) based models, which use a soft and monotonic alignment mechanism, have been well applied in non-autoregressive (NAR) speech recognition with com…
AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario
Yihui Fu, Luyao Cheng, Shubo Lv +10
In this paper, we present AISHELL-4, a sizable real-recorded Mandarin speech dataset collected by 8-channel circular microphone array for speech processing in conference scenario.…
Darts-Conformer: Towards Efficient Gradient-Based Neural Architecture Search For End-to-End ASR
Xian Shi, Pan Zhou, Wei Chen +1
Neural architecture search (NAS) has been successfully applied to tasks like image classification and language modeling for finding efficient high-performance network architectures…
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines
Jingsong Wang, Yuxuan He, Chunyu Zhao +5
Auto-KWS 2021 challenge calls for automated machine learning (AutoML) solutions to automate the process of applying machine learning to a customized keyword spotting task. Compared…