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Volumn 3, Issue , 2012, Pages 1810-1813

Normalization of spectro-temporal Gabor filter bank features for improved robust automatic speech recognition systems

Author keywords

Modulation depth; Normalization; Physiological Gabor filter bank features; Robust ASR

Indexed keywords

MEL-FREQUENCY CEPSTRAL COEFFICIENTS; MODULATION DEPTH; NORMALIZATION; PHYSIOLOGICAL GABOR FILTER BANK FEATURES; PHYSIOLOGICALLY MOTIVATED FEATURE EXTRACTIONS; ROBUST ASR; ROBUST AUTOMATIC SPEECH RECOGNITION; ROBUST AUTOMATIC SPEECH RECOGNITIONS (ASR);

EID: 84878611488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (8)
  • 1
    • 0037824480 scopus 로고    scopus 로고
    • Gabor analysis of auditory midbrain receptive fields: Spectro-temporal and binaural composition
    • A. Qiu, C. Schreiner, and M. Escabi, "Gabor analysis of auditory midbrain receptive fields: spectro-temporal and binaural composition," J. Neurophysiology, vol. 90, no. 1, pp. 456-476, 2003.
    • (2003) J. Neurophysiology , vol.90 , Issue.1 , pp. 456-476
    • Qiu, A.1    Schreiner, C.2    Escabi, M.3
  • 2
    • 85009233038 scopus 로고    scopus 로고
    • Improving word accuracy with Gabor feature extraction
    • M. Kleinschmidt and D. Gelbart, "Improving word accuracy with Gabor feature extraction," in Proc. of Interspeech 2002, 2002, pp. 25-28.
    • (2002) Proc. of Interspeech 2002 , pp. 25-28
    • Kleinschmidt, M.1    Gelbart, D.2
  • 3
    • 84863799482 scopus 로고    scopus 로고
    • Spectro-temporal modulation subspace-spanning filter bank features for robust automatic speech recognition
    • M. Schädler, B. Meyer, and B. Kollmeier, "Spectro-temporal modulation subspace-spanning filter bank features for robust automatic speech recognition," J. Acoust. Soc. Am., vol. accepted, 2012.
    • (2012) J. Acoust. Soc. Am.
    • Schädler, M.1    Meyer, B.2    Kollmeier, B.3
  • 4
    • 0032141206 scopus 로고    scopus 로고
    • Cepstral domain segmental feature vector normalization for noise robust speech recognition
    • O. Viikki and K. Laurila, "Cepstral domain segmental feature vector normalization for noise robust speech recognition," Speech Communication, vol. 25, no. 1-3, pp. 133-147, 1998.
    • (1998) Speech Communication , vol.25 , Issue.1-3 , pp. 133-147
    • Viikki, O.1    Laurila, K.2
  • 6
    • 84987702417 scopus 로고    scopus 로고
    • The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions
    • 2000
    • D. Pearce and H. Hirsch, "The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions," in Proc. of ICSLP 2000, vol. 4, 2000, pp. 29-32.
    • (2000) Proc. of ICSLP , vol.4 , pp. 29-32
    • Pearce, D.1    Hirsch, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.