Self-adaptive spectral subtraction real-time speech enhancement

Abstract

The invention discloses a self-adaptive spectral subtraction real-time speech enhancement method. The method comprises: establishing a dynamic threshold including discrimination of voice and no voice of noise voice, providing noise spectrum time varying update principles according to the dynamic threshold; making full use of correlation extraction information among adjacent frames, and realizing a pure voice spectrum smooth estimation method. Aimed at a practical problem that voice signals are difficult to extract in unstable noise and strong background noise, the self-adaptive spectral subtraction speech enhancement method is provided. The method uses a rapid tracking noise algorithm to perform smooth update on the unstable noise frame by frame, and can preferably estimate noise spectrums. The algorithm can effectively restrain background noise, and improves voice quality and intelligibility after noise reduction. The method is low in calculation cost, and is easy to realize, and has good real-time property. The method provides a new approach for denoising of strong background noise and detection of weak signals.

Description

Technical field [0001] The present invention belongs to the field of voice signal processing technology, especially a real -time voice enhancement method of adaptive spectrum reduction method. Background technique [0002] Voice enhancement is an important technology for voice processing, which has a wide range of applications in the fields of voice recognition, voice coding, voice synthesis.The purpose of voice enhancement is to extract as pure original voice as possible from the noise voice.However, because the noise signal is randomly generated, it is almost impossible to completely eliminate noise.Therefore, the main goals of actual voice enhancement include: improve voice clarity and improve the quality of voice; improve the phonetic understanding, and facilitate the understanding of the listener. [0003] In the actual environment, the voice will always be disturbed by the external environmental noise. These noise includes the noise introduced from the surrounding environme...

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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