A Study on the Search of the Most Discriminative Speech Features in the Speaker Dependent Speech Emotion Recognition

被引：6

作者：

Pao, Tsang-Long ^{[1
]}

Wang, Chun-Hsiang ^{[1
]}

Li, Yu-Ji ^{[1
]}

机构：

[1] Tatung Univ, Dept Comp Sci & Engn, Taipei 104, Taiwan

来源：

2012 FIFTH INTERNATIONAL SYMPOSIUM ON PARALLEL ARCHITECTURES, ALGORITHMS AND PROGRAMMING (PAAP) | 2012年

关键词：

Speech Emotion Recognition; Speech Feature Selection; WD-KNN Classifier; GMM Classifier; IDENTIFICATION;

D O I：

10.1109/PAAP.2012.31

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Expressing emotion to others and recognizing emotion state of the counterpart are not difficult for human. Emotion state of a person may be recognized from the facial expression, voice, and/or gesture. Speech emotion recognition research gained a lot of attention in recent years. One of the important subjects in speech emotion recognition research is the feature selection. The speech features used will greatly influence the recognition rate. In this research, we try to find the most discriminative features for emotion recognition out from a set of 78 features. We use these features to study the feature characteristics for individual speaker by using a GMM classifier. We obtained an average of 71% recognition rate in speaker dependent case while an average of 48% recognition rate in speaker independent case.

引用

页码：157 / 162

页数：6

共 50 条

[31] On the Correlation and Transferability of Features between Automatic Speech Recognition and Speech Emotion Recognition
Fayek, Haytham M.
Lech, Margaret
Cavedon, Lawrence
17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2016), VOLS 1-5: UNDERSTANDING SPEECH PROCESSING IN HUMANS AND MACHINES, 2016, : 3618 - 3622
[32] Speaker to Emotion: Domain Adaptation for Speech Emotion Recognition with Residual Adapters
Xi, Yuxuan
Li, Pengcheng
Song, Yan
Jiang, Yiheng
Dai, Lirong
2019 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2019, : 513 - 518
[33] Large Vocabulary Speech Recognition: Speaker Dependent and Speaker Independent
Hemakumar, G.
Punitha, P.
INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, VOL 1, 2015, 339 : 73 - 80
[34] NEURAL ARCHITECTURE SEARCH FOR SPEECH EMOTION RECOGNITION
Wu, Xixin
Hu, Shoukang
Wu, Zhiyong
Liu, Xunying
Meng, Helen
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 6902 - 6906
[35] Informative Speech Features based on Emotion Classes and Gender in Explainable Speech Emotion Recognition
Yildirim, Huseyin Ediz
Iren, Deniz
2023 11TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION WORKSHOPS AND DEMOS, ACIIW, 2023,
[36] Improving Speech Emotion Recognition System for a Social Robot with Speaker Recognition
Juszkiewicz, Lukasz
2014 19TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), 2014, : 921 - 925
[37] Analysis of Oral Exams With Speaker Diarization and Speech Emotion Recognition: A Case Study
Beccaro, Wesley
Ramirez, Miguel Arjona
Liaw, William
Guimaraes, Heitor Rodrigues
IEEE TRANSACTIONS ON EDUCATION, 2024, 67 (01) : 74 - 86
[38] Excitation Features of Speech for Emotion Recognition Using Neutral Speech as Reference
Kadin, Sudarsana Reddy
Gangamohan, P.
Gangashetty, Suryakanth, V
Alku, Paavo
Yegnanarayana, B.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2020, 39 (09) : 4459 - 4481
[39] Excitation Features of Speech for Emotion Recognition Using Neutral Speech as Reference
Sudarsana Reddy Kadiri
P. Gangamohan
Suryakanth V. Gangashetty
Paavo Alku
B. Yegnanarayana
Circuits, Systems, and Signal Processing, 2020, 39 : 4459 - 4481
[40] Speech Emotion Recognition Based on Robust Discriminative Sparse Regression
Song, Peng
Zheng, Wenming
Yu, Yanwei
Ou, Shifeng
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 13 (02) : 343 - 353

← 1 2 3 4 5 →