Speech synthesis method and system

Abstract

The invention provides a speech synthesis method and a speech synthesis system. The method comprises: receiving a text input by a user; performing text analysis to obtain a syllable sequence corresponding to the text and the syllable name of each syllable in the syllable sequence; for each syllable in the syllable sequence, planning and acquiring a corresponding duration parameter and a corresponding basic frequency parameter by combining a statistic parameter model according to the syllable name and context; for each syllable in the syllable sequence, acquiring corresponding spectrum parameter by matching from a spectrum parameter database according to the syllable name, the context, the duration parameter and the basic frequency parameter; and acquiring speech data corresponding to the syllable sequence by using a synthesizer according to the duration parameter, duration parameter, basic frequency parameter and spectrum parameter of each syllable in the syllable sequence. The method and the system can be used in embedded equipment and effectively reduce data storage space occupation while achieving a high tone quality.

Description

technical field [0001] The invention relates to the technical field of speech synthesis, in particular to a speech synthesis method and system. Background technique [0002] Speech synthesis technology, also known as text-to-speech (TTS, Text To Speech) technology, can convert any text information into a standard and smooth voice to read out. [0003] In the current speech synthesis, there are mainly two methods: [0004] One is the waveform splicing method; [0005] The basic idea is to pre-record a speech library, and when synthesizing, according to the results of text analysis and prosody prediction, directly select the appropriate recording segments from the speech library, and finally stitch the selected recording segments together. [0006] Due to the use of original recordings, the sound quality of synthesized speech can be guaranteed; however, to obtain better synthesis results, the speech library needs to store a large amount of speech data in advance, and the syn...

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Problems solved by technology

[0010] Since the parameter model is obtained through parameter extraction and model statistics, this method can compress the storage space compared to the pre-stored voice data; however, some voice information will be lost in the process of parameter extraction and model statistics, so it will be Causes degradation of sound quality of synthesized speech

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