Voice signal processing method and device

Abstract

The embodiment of the invention discloses a voice signal processing method, including the steps of: carrying out low-pass filtering processing on a first self-adaptive code vector and obtaining a second self-adaptive code vector; obtaining an energy scaling factor according to a first energy value of the first self-adaptive code vector and a second energy value of the second self-adaptive code vector; adopting the energy scaling factor to carry out energy scaling on the second self-adaptive code vector and obtaining a third self-adaptive code vector; and synthesizing a fixing code vector and the third self-adaptive code vector into a first excitation signal. The embodiment also discloses a voice signal processing device. By the use of the embodiment, a relatively good effect of enhanced fundamental tone is achieved by directly carrying out low-pass filtering on the self-adaptive code vectors, and the subjective hearing effect is improved by using the energy scaling factor to carry out energy smoothness on the excitation signal obtained by processing.

Description

technical field [0001] The invention relates to the field of voice signal processing, in particular to a voice signal processing method and device. Background technique [0002] Speech coding devices are widely used in digital communication systems, which can effectively send / store voice signals. In digital communication systems, input analog voice signals are converted into digital domains through sampling. In digital domains, continuous voice The samples are further processed, that is, the input of the speech coding device is a speech sample, and the output is a compressed bit stream. The compressed bit stream is transmitted to the decoding end through the channel, and the speech decoding device receives the bit stream and generates a synthesized speech signal. [0003] In code-excited linear prediction (Code Excited Linear Prediction, CELP) coding, digital speech signals are coded and transmitted in units of frames. For each frame of digital speech signal, the speech co...

AI Technical Summary

Problems solved by technology

[0017] However, since the existing technology is to filter the fixed code vectors to achieve the effect of pitch enhancement, it is necessary to change the energy of the fixed code vectors and the effect of pitch enhancement is not good. In addition, the existing technology is used to perform pitch enhancement processing. The energy of the final excitation signal is too small, which cannot better meet the system requirements.

Images