Man-Machine Speech Communication: 14th National Conference, NCMMSC 2017, Lianyungang, China, October 11–13, 2017, Revised Selected Papers
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Author Description
This book constitutes the refereed proceedings of the 14th National Conference on Man-Machine Speech Communication, NCMMSC 2017, held in Lianyungang, China, in October 2017. The 13 revised full papers presented were carefully reviewed and selected from 39 submissions. The papers address issues such as challenging issues in speech recognition and enhancement, speaker and language recognition, speech synthesis, corpus and phonetic in speech technology, speech generation, speech analyzing and modelling, speech processing of ethnic minorities, speech emotion recognition and audio signal processing.
Menrva's Summary
THE THESIS
This volume presents cutting-edge research in the field of man-machine speech communication. The 14th National Conference on Man-Machine Speech Communication (NCMMSC 2017) brought together researchers to discuss advancements in speech technology. The selected papers cover a wide array of topics, including speech recognition, speaker identification, speech synthesis, and the analysis of speech data, particularly for minority languages.
THE SCOPE MAP
- Challenging issues in speech recognition and enhancement
- Speaker and language recognition techniques
- Advances in speech synthesis
- Corpus and phonetic studies in speech technology
- Speech generation and analysis methodologies
- Speech processing for ethnic minorities
- Speech emotion recognition
- Audio signal processing applications
THE AUTHORITY PERSPECTIVE
The proceedings of the 14th National Conference on Man-Machine Speech Communication (NCMMSC 2017) offer a snapshot of current research in speech technology. The collection focuses on technical challenges and advancements across various sub-fields, suggesting a readership of specialists and researchers in acoustics, linguistics, and computer science. The emphasis on diverse topics like ethnic minority speech processing and emotion recognition indicates a broad scope within the man-machine speech interaction domain.
Page Count:
143
Publication Date:
2018-02-03
Publisher:
Springer Nature Singapore
ISBN-10:
9811081107
ISBN-13:
9789811081101
Non-Fiction
Science & Technology
Corpus linguistics
Speech Recognition
Computational linguistics
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