An new speech recognition method based on prosodic analysis and SVM in Zhuang language

Proceedings 2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011

Volumn , Issue , 2011, Pages 1209-1212

  Yin, Yeqing ^a   Tian, Tao ^a  

^a GUANGXI UNIVERSITY   (China)

Author keywords

Prosodic Analysis; Speech Recognition; SVM

Indexed keywords

EMOTION RECOGNITION; PROSODIC ANALYSIS; PROSODIC FEATURES; RECOGNIZING EMOTIONS; SPECIFIC INFORMATION; SPECTRAL FEATURE; SPEECH CORPORA; SPEECH SEGMENTS; SPEECH SIGNALS; SVM; SYLLABLE BOUNDARIES; VERIFICATION TASK;

ELECTRICAL ENGINEERING; FEATURE EXTRACTION; LINGUISTICS; SPEECH ANALYSIS;

SPEECH RECOGNITION;

EID: 80053908994     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MEC.2011.6025684     Document Type: Conference Paper

References (3)

1. S. G. Koolagudi, S. Maity, V. A. Kumar, S. Chakrabarti, and K. S. Rao, IITKGP-SESC: Speech Database for Emotion Analysis. Communications in Computer and Information Science, JIIT University, Noida, India: Springer, issn: 1865-0929 ed., August 17-19 2009.
2. T. L. Nwe, S. W. Foo, and L. C. D. Silva, "Speechemotion recognition using hidden Markov models", Speech Communication, vol. 41, pp. 603-623, Nov. 2003.
3. M. Schroder and R. Cowie, "Issues in emotion-oriented computing towards a shared understanding