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Title:
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Phoneme recognition with statistical modeling of the prediction error of neural networks
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Author:
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Freitag, Fèlix; Monte Moreno, Enrique
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts; Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
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Abstract:
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This paper presents a speech recognition system which
incorporates predictive neural networks. The neural networks
are used to predict observation vectors of speech. The prediction
error vectors are modeled on the state level by Gaussian
densities, which provide the local similarity measure for the
Viterbi algorithm during recognition. The system is evaluated on
a continuous speech phoneme recognition task. Compared with a
HMM reference system, the proposed system obtained better
results in the speech recognition experiments. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic
-Automatic speech recognition
-Reconeixement automàtic de la parla |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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International Speech Communication Association (ISCA)
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