Robust Speech Recognition by Combining Short-Term and Long ...
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In a previous study, we proposed an environmentally robust speech recognition method based on Position-Dependent CMN (PDCMN) to compensate for channel ...
In this paper, we propose a robust speech recognition method by combining a short-term spectrum based CMN with a long-term one. We assume that a static speech ...
In this paper, we propose a robust speaker recognition method based on position-dependent Cepstral Mean Normalization (CMN) to compensate for the channel ...
In this paper, we propose a robust speech recognition method by combining a short-term spectrum based CMN with a long-term one. We ... [Show full abstract] ...
In this paper, we propose a robust speech recognition method by combining a short-term spectrum based CMN with a long-term one. We assume that a static speech ...
SUMMARY. In a distant-talking environment, the length of channel im- pulse response is longer than the short-term spectral analysis window. Con-.
Robust speech recognition by combining short-term spectrum based cmn with long-term spectrum based cmn. ... Reverberation Model-Based Decoding in the ...
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In this paper, we propose a robust speaker recognition method based on position-dependent Cepstral Mean Normalization (CMN) to.
Kitaoka, "Robust speech recognition by combining short-term and long-term spectrum based position-dependent CMN with conventional CMN", IEICE Trans. on ...
This paper proposed a module for improving real-time speech enhancement of phone calls using Long short-term memory (LSTM), an artificial neural network used in ...