Adaptive Noise Suppression Algorithm for Speech Signal Based on Stochastic System Theory

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概要

• 論文の詳細を見る

• Numerous noise suppression methods for speech signals have been developed up to now. In this paper, a new method to suppress noise in speech signals is proposed, which requires a single microphone only and doesnt need any priori-information on both noise spectrum and pitch. It works in the presence of noise with high amplitude and unknown direction of arrival. More specifically, an adaptive noise suppression algorithm applicable to real-life speech recognition is proposed without assuming the Gaussian white noise, which performs effectively even though the noise statistics and the fluctuation form of speech signal are unknown. The effectiveness of the proposed method is confirmed by applying it to real speech signals contaminated by noises.

• （社）電子情報通信学会の論文
• 2011-08-01

著者

• Ikuta Akira

  Dept. Of Management And Information Systems Prefectural University Of Hiroshima

• Ikuta Akira

  Dept. Of Management Information Systems Prefectural University Of Hiroshima

• ORIMOTO Hisako

  Dept. of Management Information Systems, Prefectural University of Hiroshima

• Orimoto Hisako

  Dept. Of Management Information Systems Prefectural University Of Hiroshima

関連論文

• A Digital Filter for Stochastic Systems with Unknown Structure and Its Application to Psychological Evaluation of Sound Environment(Adaptive Signal Processing, Recent Advances in Circuits and Systems-Part 1)
• Static and Dynamic Signal Processing Methods for Noise Cancellation in Sound and Electromagnetic Environment
• Adaptive Noise Suppression Algorithm for Speech Signal Based on Stochastic System Theory

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