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Title:
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Task independent minimum confusability training for continuous speech recognition
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Author:
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Nogueiras Rodríguez, Albino; Mariño Acebal, José Bernardo
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
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Abstract:
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In this paper, a task independent discriminative training framework for subword units based continuous speech recognition is presented. Instead of aiming at the optimisation of any task independent figure, say the phone classification or recognition rates, we focus our attention to the reduction of the number of errors committed by the system when a task is defined. This consideration leads to the use of a segmental approach based on the minimisation of the confusability over short chains of subword units. Using this framework, a reduction of 32% in the string error rate may be achieved in the recognition of unknown length digit strings using task independent phone like units. |
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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 del senyal en les telecomunicacions
-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
-Automatic speech recognition
-Artificial intelligence
-Reconeixement automàtic de la parla
-Intel·ligència artificial |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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