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ICASSP
2008
IEEE

Multi-stream parameterization for structural speech recognition

10 years 3 months ago
Multi-stream parameterization for structural speech recognition
Recently, a novel and structural representation of speech was proposed [1, 2], where the inevitable acoustic variations caused by nonlinguistic factors are effectively removed from speech. This structural representation captures only microphone- and speaker-invariant speech contrasts or dynamics and uses no absolute or static acoustic properties directly such as spectrums. In our previous study, the new representation was applied to recognizing a sequence of isolated vowels [3]. The structural models trained with a single speaker outperformed the conventional HMMs trained with more than four thousand speakers even in the case of noisy speech. We also applied the new models to recognizing utterances of connected vowels [4]. In the current paper, a multiple stream structuralization method is proposed to improve the performance of the structural recognition framework. The proposed method only with 8 training speakers shows the very comparable performance to that of the conventional 4,130...
Satoshi Asakawa, Nobuaki Minematsu, Keikichi Hiros
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICASSP
Authors Satoshi Asakawa, Nobuaki Minematsu, Keikichi Hirose
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