Adaptive spectral subtraction for real-time speech enhancement

Abstract

The invention discloses a method for real-time speech enhancement by adaptive spectral subtraction. The method includes: constructing a dynamic threshold for distinguishing speech and non-speech in noisy speech, and proposing a time-varying update principle of noise spectrum according to the dynamic threshold; making full use of the relative The correlation extraction information between adjacent frames realizes the pure speech spectrum smoothing iterative estimation method; for the practical problem that the sound signal is difficult to extract under non-stationary noise and strong background noise, an adaptive spectral subtraction speech enhancement algorithm is given; The fast tracking noise algorithm performs frame-by-frame smooth update on the non-stationary noise, and can better estimate the noise spectrum; the algorithm proposed by the invention can suppress the background noise more effectively, and improve the speech quality and intelligibility after denoising. This method has the advantages of low calculation cost, simple and easy implementation, and good real-time performance. It provides a new way for strong background noise denoising and weak signal detection.

Description

technical field [0001] The invention belongs to the technical field of speech signal processing, in particular to an adaptive spectrum subtraction real-time speech enhancement method. Background technique [0002] Speech enhancement is an important technology of speech processing, which has a wide range of applications in speech recognition, speech coding, speech synthesis and other fields. The goal of speech enhancement is to extract the purest possible original speech from noisy speech. However, since noise signals are generated randomly, it is almost impossible to completely eliminate noise. Therefore, the goals of actual speech enhancement mainly include: improving speech clarity and speech quality; improving speech intelligibility to facilitate listeners' understanding. [0003] In the actual environment, speech is always disturbed by external environmental noise, which includes noise introduced from the surrounding environment, transmission media, noise from electric...

AI Technical Summary

Problems solved by technology

Environmental noise will affect the voice quality. In severe cases, the voice will be completely submerged in the noise and cannot be distinguished

The degradation of voice quality can drastically deteriorate the performance of the voice processing system

For example, a speech recognition system can achieve quite good results in a laboratory environment, but in a noisy environment, especially when used in a strong noise environment, the recognition rate of the system will be seriously affected

Low-speed speech coding is also affected by noise

Since the speech generation model is the basis of low-rate speech coding, when the speech is disturbed by noise, the extracted model parameters will be very inaccurate, and the quality of the reconstructed speech will deteriorate sharply

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