Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Ata de Congresso
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Lattice-based optimization of sequence classification criteria for neural-network acoustic modelingKingsbury, B.2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.3761-3764IEEETexto completo disponível |
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2 |
Material Type: Ata de Congresso
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Boosted MMI for model and feature-space discriminative trainingPovey, D. ; Kanevsky, D. ; Kingsbury, B. ; Ramabhadran, B. ; Saon, G. ; Visweswariah, K.2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.4057-4060IEEETexto completo disponível |
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3 |
Material Type: Ata de Congresso
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Auto-encoder bottleneck features using deep belief networksSainath, T. N. ; Kingsbury, B. ; Ramabhadran, B.2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.4153-4156IEEETexto completo disponível |
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4 |
Material Type: Ata de Congresso
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fMPE: discriminatively trained features for speech recognitionPovey, D. ; Kingsbury, B. ; Mangu, L. ; Saon, G. ; Soltau, H. ; Zweig, G.Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005, 2005, Vol.1, p.I/961-I/964 Vol. 1IEEETexto completo disponível |
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5 |
Material Type: Artigo
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Automatic speech recognition performance on a voicemail transcription taskPadmanabhan, M. ; Saon, G. ; Huang, J. ; Kingsbury, B. ; Mangu, L.IEEE transactions on speech and audio processing, 2002-10, Vol.10 (7), p.433-442New York, NY: IEEETexto completo disponível |
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6 |
Material Type: Ata de Congresso
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Constructing ensembles of ASR systems using randomized decision treesSiohan, O. ; Ramabhadran, B. ; Kingsbury, B.Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005, 2005, Vol.1, p.I/197-I/200 Vol. 1IEEETexto completo disponível |
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7 |
Material Type: Ata de Congresso
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Making Deep Belief Networks effective for large vocabulary continuous speech recognitionSainath, T. N. ; Kingsbury, B. ; Ramabhadran, B. ; Fousek, P. ; Novak, P. ; Mohamed, A.-R2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011, p.30-35IEEETexto completo disponível |
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8 |
Material Type: Ata de Congresso
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The IBM Attila speech recognition toolkitSoltau, H ; Saon, G ; Kingsbury, B2010 IEEE Spoken Language Technology Workshop, 2010, p.97-102IEEETexto completo disponível |
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9 |
Material Type: Ata de Congresso
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An evaluation of a nonlinear feature transformation for conversational speech recognitionOmar, M.K. ; Kingsbury, B.2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004, Vol.1, p.I-785IEEETexto completo disponível |
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10 |
Material Type: Ata de Congresso
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Discriminative Training of Decoding Graphs for Large Vocabulary Continuous Speech RecognitionKuo, H. -K. J. ; Kingsbury, B. ; Zweig, G.2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007, Vol.4, p.IV-45-IV-48IEEETexto completo disponível |