Method and system for encoding and synthesizing speech based on speech primitive

Abstract

The invention discloses a speech coding and synthesizing method and a system thereof, which are based on a speech primitive and can be applied to low-bandwidth and high-tone quality speech transmission. On the basis of digital speech transmission, the constructed speech primitive is taken as a coding object and a clustering algorithm is adopted to construct a speech primitive model base by analysis on daily speech; then, a speech primitive automatic cut algorithm is utilized to carry out automatic speech primitive cutting to the obtained continuous speech stream and extract the MFCC characteristics of the speech primitive; a number corresponding to the speech primitive is obtained by carrying out matching identification to the speech primitive in the speech primitive model base, and the number carries out coding by replacing the speech primitive. During the process of speech synthesizing, the speech primitive corresponding to the number is taken out from the speech primitive model base according to the number, and processing such as interpretation fitting and the like is carried out to the spectra enveloping of the speech primitive by mathematical manipulation so as to form smooth transited speech.

Description

technical field [0001] The invention relates to the fields of speech coding, speech transmission, speech telephony, etc., and in particular to a speech coding and synthesis method and system based on speech primitives. Background technique [0002] With the development of modern network technology, there are more and more applications to transmit voice signals through the Internet, especially the rapid popularization of online chat tools, which has made Internet telephony a popular communication tool. At present, most Internet telephony adopts general-purpose encoding technologies such as G.711, G.723, G.726, and G.729, and the speech in network transmission mostly adopts relatively high-compression medium- and low-rate speech encoding. Although low-rate speech compression coding brings convenience to channel transmission and saves storage space, since most speech coding is lossy compression, speech quality is bound to be lost. What these technologies have in common is to u...

AI Technical Summary

Problems solved by technology

Although low-rate voice compression coding brings convenience to channel transmission and saves storage space, since most voice coding is lossy compression, voice quality will inevitably be lost

Images