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This paper proposes a new noisy robust speech recognition method. Under noise circumstances, several noise reduction methods have been developed and they are applied in various noise conditions. However, in case of similar pronunciation speech, for example, it is still not easy to realize high recognition accuracy. In this paper, the new processing algorithm into speech modulation spectrum is proposed...
This paper presents the use of lip-reading and Thai speech to control electronic devices in a vehicle. The Viola-Jones algorithm detects the face of the driver and the constrained local model detects their mouth area before three lips features are extracted. Hidden Markov models are utilized to recognize speech and lip movement, with the lip movement recognizer offering better accuracy than the speech...
This paper presents an approach for improving the perceptual quality of speech separated from background noise at low signal-to-noise ratios. Our approach uses two stages of deep neural networks, where the first stage estimates the ideal ratio mask that separates speech from noise, and the second stage maps the ratio-masked speech to the clean speech activation matrices that are used for nonnegative...
Efficiency of the speech recognition system in noise free environment is impressive but in the presence of environmental noise the efficiency of the speech recognition system deteriorates drastically. Environmental noise also affects human-to-human or human-to-machine communications and degrades the speech quality as well as intelligibility. Here a speech recognition system is proposed in presence...
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