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Volumn , Issue , 2008, Pages 2262-2265

Short- and long-term dynamic features for robust speech recognition

Author keywords

Automatic speech recognition; Dynamic feature; Long term temporal information; Noise robustness

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; AUTOMATIC SPEECH RECOGNITION SYSTEM; CEPSTRUM; DYNAMIC FEATURE; DYNAMIC FEATURES; FEATURE PARAMETERS; HIGH-DIMENSIONAL FEATURE SPACE; LONG TERM DYNAMICS; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; NOISE-ROBUSTNESS; ROBUST SPEECH RECOGNITION; SPECTRAL VARIATION; SPEECH CORPORA; TEMPORAL INFORMATION;

EID: 84867218137     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (15)
  • 1
    • 0022667694 scopus 로고
    • Speaker-independent isolated word recognition using dynamic features of speech spectrum
    • S. Furui, "Speaker-independent isolated word recognition using dynamic features of speech spectrum", IEEE Trans. Acoust., Speech and Signal Processing, Vol. ASSP-34, No. 1, pp. 52-59 (1986).
    • (1986) IEEE Trans. Acoust., Speech and Signal Processing , vol.ASSP-34 , Issue.1 , pp. 52-59
    • Furui, S.1
  • 3
    • 1842796666 scopus 로고    scopus 로고
    • On the important modulation-frequency bands of speech for human speaker recognition
    • T. Arai, M. Takahashi, N. Kanedera, Y. Takano, and Y. Murahara, "On the important modulation-frequency bands of speech for human speaker recognition", Proc. ICSLP, Vol. III, pp. 774-777 (2000).
    • (2000) Proc. ICSLP , vol.3 , pp. 774-777
    • Arai, T.1    Takahashi, M.2    Kanedera, N.3    Takano, Y.4    Murahara, Y.5
  • 4
    • 0019555090 scopus 로고
    • Cepstral analysis technique for automatic speaker verification
    • S.Furui, "Cepstral analysis technique for automatic speaker verification," IEEE Trans. Acoust., Speech and Signal Processing, Vol. 29, No. 2, pp. 254-272 (1981).
    • (1981) IEEE Trans. Acoust., Speech and Signal Processing , vol.29 , Issue.2 , pp. 254-272
    • Furui, S.1
  • 5
    • 0032658253 scopus 로고    scopus 로고
    • TRAPS - Classifiers of Temporal Patterns
    • H. Hermansky and S. Sharma, "TRAPS - Classifiers of Temporal Patterns", Proc. ICASSP '99, Vol. I, pp. 289-292 (1999).
    • (1999) Proc. ICASSP '99 , vol.1 , pp. 289-292
    • Hermansky, H.1    Sharma, S.2
  • 6
    • 27144509179 scopus 로고    scopus 로고
    • Learning long-term temporal features in LVCSR using neural networks
    • B. Chen, Q. Zhu, and N. Morgan, "Learning long-term temporal features in LVCSR using neural networks", Proc. ICSLP, pp. 612-615 (2004).
    • (2004) Proc. ICSLP , pp. 612-615
    • Chen, B.1    Zhu, Q.2    Morgan, N.3
  • 7
    • 4544224866 scopus 로고    scopus 로고
    • TRAPping conversational speech: Extending TRAP/Tandem approaches to conversational telephone speech recognition
    • N. Morgan, B. Chen, Q. Zhu, and A. Stolcke, "TRAPping conversational speech: Extending TRAP/Tandem approaches to conversational telephone speech recognition", Proc. ICASSP'04, Vol. I, pp. 537-540 (2004).
    • (2004) Proc. ICASSP'04 , vol.1 , pp. 537-540
    • Morgan, N.1    Chen, B.2    Zhu, Q.3    Stolcke, A.4
  • 8
    • 0038694713 scopus 로고    scopus 로고
    • The analysis of speech in different temporal integration windows: Cerebral lateralization as asymmetric sampling in time
    • D. Poeppel, "The analysis of speech in different temporal integration windows: cerebral lateralization as asymmetric sampling in time", Speech Communication, Vol. 41, pp. 245- 255 (2003).
    • (2003) Speech Communication , vol.41 , pp. 245-255
    • Poeppel, D.1
  • 9
    • 60849117157 scopus 로고    scopus 로고
    • Static and dynamic spectral features: Their noise robustness and optimal weights for ASR
    • C. Yang, F. K. Soong, and T. Lee, "Static and dynamic spectral features: Their noise robustness and optimal weights for ASR," IEEE Trans. on Audio, Speech, and Language Processing, Vol. 15, No. 3, pp. 1087-1097, 2007.
    • (2007) IEEE Trans. on Audio, Speech, and Language Processing , vol.15 , Issue.3 , pp. 1087-1097
    • Yang, C.1    Soong, F.K.2    Lee, T.3
  • 11
    • 0027957839 scopus 로고
    • Effect of temporal envelope smearing on speech perception
    • R. Drullman, J. M. Festen, and R. Plomp, "Effect of temporal envelope smearing on speech perception," J. Acoust. Soc. Amer., Vol. 95, pp. 1053-1064 (1994).
    • (1994) J. Acoust. Soc. Amer. , vol.95 , pp. 1053-1064
    • Drullman, R.1    Festen, J.M.2    Plomp, R.3
  • 12
    • 0028287770 scopus 로고
    • Effect of reducing slow temporal modulations on speech perception
    • R. Drullman, J. M. Festen, and R. Plomp, "Effect of reducing slow temporal modulations on speech perception," J. Acoust. Soc. Amer., Vol. 95, pp. 2670-2680 (1994).
    • (1994) J. Acoust. Soc. Amer. , vol.95 , pp. 2670-2680
    • Drullman, R.1    Festen, J.M.2    Plomp, R.3
  • 13
    • 0034817674 scopus 로고    scopus 로고
    • Time and frequency filtering of filter-bank energies for robust HMM speech recognition
    • C. Nadeu, D. Macho, and J. Hernando, "Time and frequency filtering of filter-bank energies for robust HMM speech recognition," Speech Communication, Vol. 34, pp. 93-114 (2001).
    • (2001) Speech Communication , vol.34 , pp. 93-114
    • Nadeu, C.1    Macho, D.2    Hernando, J.3
  • 14
    • 84856269531 scopus 로고    scopus 로고
    • Desired characteristics of modulation spectrum for robust automatic speech recognition
    • N. Kanedera, H. Hermansky, and T. Arai, "Desired characteristics of modulation spectrum for robust automatic speech recognition," Proc. ICASSP'98, pp.613-616 (1998).
    • (1998) Proc. ICASSP'98 , pp. 613-616
    • Kanedera, N.1    Hermansky, H.2    Arai, T.3
  • 15
    • 84867218934 scopus 로고    scopus 로고
    • Phone-duration-dependent long-term dynamic features for a stochastic model-based voice activity detection
    • T. Fukuda, O. Ichikawa, and M. Nishimura, "Phone-duration-dependent long-term dynamic features for a stochastic model-based voice activity detection," Interspeech 2008.
    • Interspeech 2008
    • Fukuda, T.1    Ichikawa, O.2    Nishimura, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.