Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Speech recognition with matrix-MCE based two-dimension-cepstrum in cars
This study proposes matrix-MCE (MMCE) to reduce the influence of noises. Background noises usually degrade the performance of speech recognition. MMCE can efficiently minimize the classification error of two-dimension-cepstrum (TDC). Then the template matching employs the Gaussian-mixture-model (GMM). To evaluate the performance, the speech data used for our experiments are a set of isolated Mandarin digits. Experimental results indicate that MMCE-based TDC is very robust in the noisy environments.
Speech recognition with matrix-MCE based two-dimension-cepstrum in cars
This study proposes matrix-MCE (MMCE) to reduce the influence of noises. Background noises usually degrade the performance of speech recognition. MMCE can efficiently minimize the classification error of two-dimension-cepstrum (TDC). Then the template matching employs the Gaussian-mixture-model (GMM). To evaluate the performance, the speech data used for our experiments are a set of isolated Mandarin digits. Experimental results indicate that MMCE-based TDC is very robust in the noisy environments.
Speech recognition with matrix-MCE based two-dimension-cepstrum in cars
Gin-Der Wu, (Autor:in) / Zhen-Wei Zhu, (Autor:in)
01.11.2012
281515 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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