Isolated spanish digit recognition based on audio-visual features

• Autores: Sad, Gonzalo D.; Terissi, Lucas D.; Gómez, Juan Carlos
• Año de publicación: 2013
• Idioma: inglés
• Tipo de recurso: documento de conferencia
• Materia: Ciencias Informáticas; Informática; speech recognition; audio-visual speech feature; Speech recognition and synthesis; Object recognition; Hidden Markov Models; Markov processes
• Institución: Universidad Nacional de La Plata

The performance of classical speech recognition techniques based on audio features is degraded in noisy environments. The inclu-sion of visual features related to mouth movements into the recogni-tion process improves the performance of the system. This paper proposes an isolated word speech recognition system based on audio-visual features. The proposed system combines three classifiers based on au-dio, visual and audio-visual information, respectively. An audio-visual database composed by the utterances of the digits (in Spanish language) is employed to test the proposed system. The experimental results show a significant improvement on the recognition rates through a wide range of signal-to-noise ratios.
IV Workshop procesamiento de señales y sistemas de tiempo real.
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