Method for inhibiting transient noise in voice

Abstract

The invention discloses a method for inhibiting transient noise in a voice and belongs to the technical field of signal processing. The method for inhibiting the transient noise in the voice is characterized in that a Gammatone frequency cepstral coefficient extracting module, a transient noise detecting module and a voice signal re-establishing module are employed in the method; an input end of the Gammatone frequency cepstral coefficient extracting module receives a noise-containing voice signal, an output end of the Gammatone frequency cepstral coefficient extracting module is connected with an input end of the transient noise detecting module, an output end of the transient noise detecting module is connected with an input end of the voice signal re-establishing module, the input end of the voice signal re-establishing module receives the noise-containing voice signal and is further connected with the output end of the transient noise detecting module, and the voice signal re-establishing module outputs a de-noised voice.

Description

technical field [0001] The invention relates to a method for suppressing transient noise in speech, and belongs to the technical field of signal processing. Background technique [0002] Transient noise exists in many applications, such as voice communication terminal equipment such as hearing aids, hands-free components, mobile phones, and video conferencing equipment. The existence of transient noise seriously affects the voice quality, reduces the clarity and intelligibility of the voice signal, and causes auditory fatigue. Transient noise in speech is usually additive noise, also known as transient noise. Transient noise usually has the characteristics of suddenness and impulsiveness in the time domain, and its energy is usually concentrated in a short time domain interval, while its distribution is very wide in the frequency domain. A typical transient signal is usually composed of an initial peak and a short-term oscillation process with a duration of about 10-50ms a...

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Problems solved by technology

[0020] (2) Envelope loss concealment

[0023] In the monograph "Advanced Digital Signal Processing and Noise Reduction" (3rd editor. New York: Wiley, 2006), S.V. Vaseghi gave a method for detection and suppression of impulse noise. The main disadvantages of this method are: (a) due to many Accurate models of one-dimensional signals (such as speech) are not easy to obtain, and it is easy to introduce harmonic distortion; (b) Impulse signals with small amplitudes cannot be detected

There are various types of transient noise. When there are many different types of transient noise in a short period of time, it will cause inaccurate modeling and affect the denoising effect.

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