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Volumn 2018-January, Issue , 2017, Pages 309-315

Attention-based Wav2Text with feature transfer learning

Author keywords

end to end neural network; raw speech waveform; Speech recognition

Indexed keywords

DECODING; DEEP NEURAL NETWORKS; SIGNAL ENCODING; SPEECH RECOGNITION;

EID: 85050532161     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2017.8268951     Document Type: Conference Paper
Times cited : (26)

References (31)
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    • The application of hidden Markov models in speech recognition
    • Mark Gales and Steve Young, "The application of hidden Markov models in speech recognition, " Foundations and Trends in Signal Processing, vol. 1, no. 3, pp. 195-304, 2008.
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    • Gales, M.1    Young, S.2
  • 5
    • 84994235770 scopus 로고    scopus 로고
    • Acoustic modelling from the signal domain using CNNs
    • Pegah Ghahremani, Vimal Manohar, Daniel Povey, Sanjeev Khudanpur, "Acoustic modelling from the signal domain using CNNs, " in Interspeech, 2016, vol. 2016.
    • (2016) Interspeech , vol.2016
    • Ghahremani, P.1    Manohar, V.2    Povey, D.3    Khudanpur, S.4
  • 17
    • 0031573117 scopus 로고    scopus 로고
    • Long shortterm memory
    • Sepp Hochreiter and Jürgen Schmidhuber, "Long shortterm memory, " Neural computation, vol. 9, no. 8, pp. 1735-1780, 1997.
    • (1997) Neural Computation , vol.9 , Issue.8 , pp. 1735-1780
    • Hochreiter, S.1    Schmidhuber, J.2
  • 28
    • 84959115246 scopus 로고    scopus 로고
    • Cross-lingual transfer learning during supervised training in low resource scenarios.
    • Amit Das and Mark Hasegawa-Johnson, "Cross-lingual transfer learning during supervised training in low resource scenarios., " in INTERSPEECH, 2015, pp. 3531-3535.
    • (2015) Interspeech , pp. 3531-3535
    • Das, A.1    Hasegawa-Johnson, M.2
  • 30
    • 84906225757 scopus 로고    scopus 로고
    • A scalable approach to using DNN-derived features in GMM-HMM based acoustic modeling for LVCSR
    • Z.J. Yan, Q. Huo, J. Xu, "A scalable approach to using DNN-derived features in GMM-HMM based acoustic modeling for LVCSR, " in Proc. INTERSPEECH, 2013.
    • (2013) Proc. INTERSPEECH
    • Yan, Z.J.1    Huo, Q.2    Xu, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.