Nov 12, 2015 · To improve environment identification performance, we propose a DNN that uses both reverberant speech and estimated reverberation. In the second ...
Nov 2, 2015 · In this paper, we propose an environment-dependent denoising autoencoder (DAE) and automatic environment identification based on a deep ...
To improve environment identification performance, we propose a DNN that uses both reverberant speech and estimated reverberation. In the second approach, we ...
In this paper, we propose an environment-dependent denoising autoencoder (DAE) and automatic environment identification based on a deep neural network (DNN) ...
In this paper, we propose an environment-dependent denoising autoencoder (DAE) and automatic environment identification based on a deep neural network (DNN) ...
In this paper, we propose an environment-dependent denoising autoencoder (DAE) and automatic environment identification based on a deep neural network (DNN) ...
Experimental results show that the proposed denoising autoencoder based front-end using the shortwindowed spectra gives better results than conventional ...
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What is the difference between autoencoder and denoising autoencoder?
What is denoise autoencoder?
Denoising autoencoder and environment adaptation for distant-talking speech recognition with asynchronous speech recording. L Wang, B Ren, Y Ueda, A Kai, S ...
Environment-dependent denoising autoencoder for distant-talking speech recognition ... Strategies for distant speech recognitionin reverberant environments.
Yuma Ueda, Longbiao Wang, Atsuhiko Kai, Bo Ren: Environment-dependent denoising autoencoder for distant-talking speech recognition.