Qingxue Yao
ABSTRACT
With the wide application of optical speech sensors, the quality of speech signal detected by an optical speech sensor has attracted the eyesight of technical personnel. In this paper, the sensing principle of the Fabry-Perot (F-P) optical speech sensor array is studied theoretically. To solve the problem of noise overlap on the output signal of the F-P optical voice sensor array, a multi-window spectral estimation spectral subtraction method based on endpoint detection is proposed. To achieve a more accurate noise reduction effect, this article uses endpoint detection to judge the voice and noise segments, identify the starting and estimate ending points of the voice and the average noise amplitude. The improved spectral subtraction method can enhance the key information in speech signals and reduce noise interference.
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Index Terms
- Research on Fabry-Perot Fiber Optic Speech Sensor and Speech Enhancement
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