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Man-Machine Speech Communication

17th National Conference, NCMMSC 2022, Hefei, China, December 15–18, 2022, Proceedings

  • Conference proceedings
  • © 2023

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Editors:
  1. Ling Zhenhua

    1. University of Science and Technology of China, Anhui, China

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  2. Gao Jianqing

    1. Hefei University, Anhui, China

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  3. Yu Kai

    1. Shanghai Jiaotong University, Shanghai, China

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  4. Jia Jia

    1. Tsinghua University, Beijing, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1765)

Included in the following conference series:

Conference proceedings info: NCMMSC 2022.

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Table of contents (28 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation

    • Weifeng Liu, Xiao Sun
    Pages 1-15

  3. Baby Cry Recognition Based on Acoustic Segment Model

    • Shuxian Wang, Jun Du, Yajian Wang
    Pages 16-29

  4. A Multi-feature Sets Fusion Strategy with Similar Samples Removal for Snore Sound Classification

    • Zhonghao Zhao, Yang Tan, Mengkai Sun, Yi Chang, Kun Qian, Bin Hu et al.
    Pages 30-43

  5. Multi-hypergraph Neural Networks for Emotion Recognition in Multi-party Conversations

    • Cheng Zheng, Haojie Xu, Xiao Sun
    Pages 44-58

  6. Using Emoji as an Emotion Modality in Text-Based Depression Detection

    • Pingyue Zhang, Mengyue Wu, Kai Yu
    Pages 59-67

  7. Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis

    • Ye-Xin Lu, Yang Ai, Zhen-Hua Ling
    Pages 68-80

  8. Semantic Enhancement Framework for Robust Speech Recognition

    • Baochen Yang, Kai Yu
    Pages 81-88

  9. Achieving Timestamp Prediction While Recognizing with Non-autoregressive End-to-End ASR Model

    • Xian Shi, Yanni Chen, Shiliang Zhang, Zhijie Yan
    Pages 89-100

  10. Predictive AutoEncoders Are Context-Aware Unsupervised Anomalous Sound Detectors

    • Xiao-Min Zeng, Yan Song, Li-Rong Dai, Lin Liu
    Pages 101-113

  11. A Pipelined Framework with Serialized Output Training for Overlapping Speech Recognition

    • Tao Li, Lingyan Huang, Feng Wang, Song Li, Qingyang Hong, Lin Li
    Pages 114-123

  12. Adversarial Training Based on Meta-Learning in Unseen Domains for Speaker Verification

    • Jian-Tao Zhang, Xin Fang, Jin Li, Yan Song, Li-Rong Dai
    Pages 124-131

  13. Multi-speaker Multi-style Speech Synthesis with Timbre and Style Disentanglement

    • Wei Song, Yanghao Yue, Ya-jie Zhang, Zhengchen Zhang, Youzheng Wu, Xiaodong He
    Pages 132-140

  14. Multiple Confidence Gates for Joint Training of SE and ASR

    • Tianrui Wang, Weibin Zhu, Yingying Gao, Junlan Feng, Dongjie Zhu, Surong Zhu et al.
    Pages 141-148

  15. Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Linguistic Information Fusion

    • Ziang Zhou, Yanze Xu, Ming Li
    Pages 149-161

  16. Pre-training Techniques for Improving Text-to-Speech Synthesis by Automatic Speech Recognition Based Data Enhancement

    • Yazhu Liu, Shaofei Xue, Jian Tang
    Pages 162-172

  17. A Time-Frequency Attention Mechanism with Subsidiary Information for Effective Speech Emotion Recognition

    • Yu-Xuan Xi, Yan Song, Li-Rong Dai, Lin Liu
    Pages 173-184

  18. Interplay Between Prosody and Syntax-Semantics: Evidence from the Prosodic Features of Mandarin Tag Questions

    • Jinting Yan, Yuxiao Yang, Fei Chen
    Pages 185-195

  19. Improving Fine-Grained Emotion Control and Transfer with Gated Emotion Representations in Speech Synthesis

    • Jianhao Ye, Tianwei He, Hongbin Zhou, Kaimeng Ren, Wendi He, Heng Lu
    Pages 196-207

  20. Violence Detection Through Fusing Visual Information to Auditory Scene

    • Hongwei Li, Lin Ma, Xinyu Min, Haifeng Li
    Pages 208-220
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About this book

This book constitutes the refereed proceedings of the 17th National Conference on Man–Machine Speech Communication, NCMMSC 2022, held in China, in December 2022.
The 21 full papers and 7 short papers included in this book were carefully reviewed and selected from 108 submissions. They were organized in topical sections as follows: MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation.- Baby Cry Recognition Based on Acoustic Segment Model, MnTTS2 An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset.

Editors and Affiliations

  • University of Science and Technology of China, Anhui, China

    Ling Zhenhua

  • Hefei University, Anhui, China

    Gao Jianqing

  • Shanghai Jiaotong University, Shanghai, China

    Yu Kai

  • Tsinghua University, Beijing, China

    Jia Jia

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