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title:(Spectro-Temporal AND Analysis AND of AND Speech AND for AND Spanish AND Phoneme AND Recognition)

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1 Conference paper

Spectro-temporal analysis of speech for Spanish phoneme recognition

State of the art speech recognition systems (ASR), mostly use Mel-Frequency cepstral coefficients (MFCC), as acoustic features. In this paper, we propose a new discriminative analysis of acoustic features, based on spectrogram analysis. Both spectral and temporal variations of speech signal

Year: 2012

Language: English

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2 Conference paper

Spectro-Temporal Analysis of Speech for Spanish Phoneme Recognition

Sharifzadeh, Sara; Serrano, Javier; Carrabina, Jordi

Proceedings — 2012, pp. 566-569

State of the art speech recognition systems (ASR), mostly use Mel-Frequency cepstral coefficients (MFCC), as acoustic features. In this paper, we propose a new discriminative analysis of acoustic features, based on spectrogram analysis. Both spectral and temporal variations of speech signal

Year: 2012

Language: English

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