Text message based waveform concatenation speech synthesis method

Abstract

The invention relates to a text message based waveform concatenation speech synthesis method. The text message based waveform concatenation speech synthesis method includes steps of S1, extracting acoustic parameters and text parameters of all elements in an original voice frequency through segment cutting, and training a duration prediction model and a weight prediction model according to extracted parameters; S2, using a layered pre-selection method to primarily pre-select the elements in a corpus to obtain candidate elements by means of a target element of text analysis and a duration predicted by the duration prediction model; S3, calculating the target element, the candidate elements, and weight information predicted by the weight prediction model to obtain a target cost; calculating Integrating degrees of two adjacent elements to obtain a concatenation cost; using a viterbi searching method to search the target cost and the concatenation cost to obtain a minimum cost path so as to further obtain an optimum element and obtain synthesis speeches through smooth concatenation.

Description

technical field [0001] The invention belongs to the field of intelligent information processing, and relates to a waveform splicing system based on text information. Background technique [0002] Speech is one of the main means of human-computer interaction, and the main purpose of speech synthesis is to enable computers to generate high-definition, high-naturalness continuous speech. There are two main methods of speech synthesis. Early research mainly uses parametric speech synthesis, and the most commonly used synthesis method is based on Hidden Markov parameter speech synthesis method. As a specific implementation of statistical acoustic modeling method, this method performs Hidden Markov Modeling on the acoustic parameters of speech, reconstructs the trajectory of acoustic parameters through parameter generation algorithms, and finally invokes the speech synthesizer to generate speech waveforms . The disadvantage of this method is that the sound quality, naturalness a...

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Problems solved by technology

[0003] However, although this method can synthesize waveforms that are relatively close to the original speech, it is limited by the size of the corpus, and the stability of the synthesized speech is not ideal (the sound library is too large, the synthetic speech speed is slow, and it cannot be synthesized in real time; the sound library is too small. , synthetic speech is unstable), which greatly affects the sense of hearing

Moreover, the existing splicing synthesis system lacks consideration of the influence of text information on primitives when calculating the cost, and the synthesized speech is not very good in prosodic performance.

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