Improving the performance of the speaker emotion recognition based on low dimension prosody features vector

Author:

Gudmalwar Ashishkumar Prabhakar,Rama Rao Ch V,Dutta Anirban

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference48 articles.

1. Abelin, A. & Allwood, J. (2000). Cross-linguistic interpretation of emotional prosody. In Proceedings of the ISCA workshop on speech and emotion.

2. Anagnostopoulos, C. N., & Vovoli, E. (2010). Sound processing features for speaker-dependent and phrase-independent emotion recognition in Berlin database. In G. Papadopoulos, W. Wojtkowski, G. Wojtkowski, S. Wrycza, & J. Zupancic (Eds.), Information systems development (pp. 413–421). Boston: Springer.

3. Anagnostopoulos, C. N., Iliou, T., & Giannoukos, (2015). Features and classifiers for emotion recognition from speech: A survey from 2000 to 2011. Artificial Intelligence Review, 43(2), 155–177.

4. Atassi, H. & Esposito, A. (2008). A speaker independent approach to the classification of emotional vocal expressions. In Proceedings of 20th IEEE international conference on tools with artificial intelligence (pp. 147–152).

5. Banse, R., & Sherer, K. R. (1996). Acoustic profiles in vocal emotion expression. Journal of Personality and Social Psychology, 70(3), 614–636.

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Sound of Emotional Prosody: Nearly 3 Decades of Research and Future Directions;Perspectives on Psychological Science;2024-01-17

2. TWACapsNet: a capsule network with two-way attention mechanism for speech emotion recognition;Soft Computing;2023-08-17

3. Time-Distributed Attention-Layered Convolution Neural Network with Ensemble Learning using Random Forest Classifier for Speech Emotion Recognition;Journal of Information and Communication Technology;2023

4. Voice signal-based disease diagnosis using IoT and learning algorithms for healthcare;Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain;2023

5. SpeechQoE;Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems;2022-11-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3