Method for suppressing transient noise in voice

Abstract

The invention discloses a method for suppressing transient noise in voice, and belongs to the technical field of signal processing. The method for suppressing transient noise in voice is characterized by comprising a gamma through frequency cepstrum coefficient extraction module, a transient noise detection module and a voice signal reconstruction module, wherein the input end of the gamma through frequency cepstrum coefficient extraction module receives a voice signal containing noise, the output end of the gamma through frequency cepstrum coefficient extraction module is connected with the input end of the transient noise detection module, the output end of the transient noise detection module is connected with the input end of the voice signal reconstruction module, the input end of the voice signal reconstruction module receives the voice signal containing noise and is also connected with the output end of the transient noise detection module, and the voice signal reconstruction module outputs the voice with noise removed.

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...

AI Technical Summary

Problems solved by technology

[0020](2) Envelope loss hidden

[0023] In the monograph "Advanced Digital Signal Processing and Noise Reduction" (3rd editor. NewYork: Wiley, 2006), S.V. Vaseghi gave a detection and suppression method of impulse noise, the main Disadvantages: (a) Since the accurate model of many one-dimensional signals (such as speech) is not easy to obtain, it is easy to introduce harmonic distortion; (b) cannot detect pulse signals with small amplitudes

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.

Images