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Volumn 6975 LNCS, Issue PART 2, 2011, Pages 407-414

Audio-based emotion recognition from natural conversations based on co-occurrence matrix and frequency domain energy distribution features

Author keywords

Co Occurrence Matrix; Frequency Domain Energy Distribution; Speech Emotion Recognition

Indexed keywords

AUDIO-BASED; AUDIO-VISUAL; BENCHMARK DATABASE; CO-OCCURRENCE-MATRIX; EMOTION RECOGNITION; ENERGY DISTRIBUTIONS; FREQUENCY DOMAINS; HUMAN MACHINE INTERACTION; NATURAL SPEECH; REAL-LIFE APPLICATIONS; SPECTRAL FEATURE; SPEECH EMOTION RECOGNITION; SPEECH INFORMATION; TEST DATA;

EID: 80054844663     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24571-8_52     Document Type: Conference Paper
Times cited : (13)

References (16)
  • 2
    • 34547535917 scopus 로고    scopus 로고
    • Speech emotion recognition using gaussian mixture vector autoregressive models
    • El Ayadi, M., Kamel, M.S., Karray, F.: Speech emotion recognition using gaussian mixture vector autoregressive models. In: ICASSP, vol. 4, pp. 957-960 (2007)
    • (2007) ICASSP , vol.4 , pp. 957-960
    • El Ayadi, M.1    Kamel, M.S.2    Karray, F.3
  • 3
    • 70450206416 scopus 로고    scopus 로고
    • The INTERSPEECH 2009 Emotion Challenge
    • ISCA, Brighton
    • Schuller, B., Steidl, S., Batliner, A.: The INTERSPEECH 2009 Emotion Challenge. In: Proc. Interspeech, pp. 312-315. ISCA, Brighton (2009)
    • (2009) Proc. Interspeech , pp. 312-315
    • Schuller, B.1    Steidl, S.2    Batliner, A.3
  • 5
    • 80054831955 scopus 로고    scopus 로고
    • AVEC 2011-The First International Audio/Visual Emotion Challenge
    • D'Mello, S., et al. (eds.) ACII 2011, Part II. Springer, Heidelberg
    • Schuller, B., Valstar, M., Eyben, F., McKeown, G., Cowie, R., Pantic, M.: AVEC 2011-The First International Audio/Visual Emotion Challenge. In: D'Mello, S., et al. (eds.) ACII 2011, Part II. LNCS, pp. 415-424. Springer, Heidelberg (2011)
    • (2011) LNCS , pp. 415-424
    • Schuller, B.1    Valstar, M.2    Eyben, F.3    McKeown, G.4    Cowie, R.5    Pantic, M.6
  • 7
    • 69949117049 scopus 로고    scopus 로고
    • Emotion recognition in speech signal using emotion extracting binary decision trees
    • Doctoral Consortium. ACM, Springer, Lisbon
    • Cichosz, J., Ślot, K.: 'Emotion recognition in speech signal using emotion extracting binary decision trees. In: Doctoral Consortium. ACII 2007. ACM, Springer, Lisbon (2007)
    • (2007) ACII 2007
    • Cichosz, J.1    Ślot, K.2
  • 8
    • 0038548330 scopus 로고    scopus 로고
    • The production and recognition of emotions in speech: Features and algorithms
    • Pierre-Yves, O.: The production and recognition of emotions in speech: features and algorithms. Int. J. Human-Computer Studies 59 (2003)
    • (2003) Int. J. Human-Computer Studies , pp. 59
    • Pierre-Yves, O.1
  • 9
    • 0037382560 scopus 로고    scopus 로고
    • Emotions, speech and the ASR framework
    • ten Bosch, L.: Emotions, speech and the ASR framework. Speech Communication 40 (2003)
    • (2003) Speech Communication , pp. 40
    • Ten Bosch, L.1
  • 10
    • 33746410556 scopus 로고    scopus 로고
    • Emotional speech recognition: Resources, features, and methods
    • Ververidis, D., Kotropoulos, C.: Emotional speech recognition: Resources, features, and methods. Speech Communication 48 (2006)
    • (2006) Speech Communication , pp. 48
    • Ververidis, D.1    Kotropoulos, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.