Automatic Speech Segmentation
Mostrando 1-4 de 4 artigos, teses e dissertações.
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1. A novel word boundary detector based on the teager energy operator for automatic speech recognition
This work is part of a major research project and contributes into the development of a speaker-independent speech recognition system for isolated words from a limited vocabulary. It proposes a novel spoken word boundary detection method named TEO-based method for Spoken Word Segmentation (TSWS). Based on the Teager Energy Operator (TEO), the TSWS is present
Publicado em: 2010
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2. Segmentação de voz baseada na análise fractal e na transformada wavelet. / Speech segmentation based on fractal analysis and wavelet transform.
Nowadays, fractal analysis has been successfully applied to digital speech processing, particularly for words and phonemes segmentation, which represents one of the fundamental steps in automatic speech recognition and speaker identification systems. The practical use of fractal analysis for these purposes should match two principles: low computational cost,
Publicado em: 2008
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3. Sistema baseado em regras para o refinamento da segmentação automatica de fala / Rule based system for refining the automatic speech segmentation
A demanda por uma segmentação automática de fala confiável vem crescendo e exigindo pesquisas para suportar o desenvolvimento de sistemas que usam fala para uma interação homem-máquina. Neste contexto, este trabalho relata o desenvolvimento e avaliação de um sistema para segmentação automática de fala usando o algoritmo de Viterbi e refinamento d
Publicado em: 2008
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4. Segmentação automatica e treinamento discriminativo aplicados a um sistema de reconhecimento de digitos conectados
Hidden Markov Model is actually the main approach to Speech Recognition problem, because of the good performance and high degree of flexibility that can be achieved. Unfortunately, this acoustical modeling is not optimum and some problems still affect it s robustness and performance in a more realistic condition. The weakness of the temporal modeling embedde
Publicado em: 1999