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Man-Machine Speech Communication edited by Ling Zhenhua, Gao Jianqing, Yu Kai, Jia Jia. [electronic resource] :

Contributor(s): Material type: TextTextPublication details: Singapore Springer Nature Singapore 2023Edition: 1st ed. 2023Description: XI, 332 p. 91 illus., 86 illus. in color. online resourceISBN:
  • 9789819924011
Subject(s): DDC classification:
  • 6.37
Online resources: Summary: 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.
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e-Book e-Book S. R. Ranganathan Learning Hub Online Available Platform:Springer EB1980
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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.

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