Harmonic noise excitation model vocoder based on inverse filtering
A technology of noise excitation and inverse filtering, applied in the direction of instruments, speech analysis, etc., can solve problems such as the residual signal that cannot be simulated very well, and achieve the effect of reducing the complexity and the degree of manual participation.
Active Publication Date: 2012-10-03
中科极限元(杭州)智能科技股份有限公司
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The pulse plus white noise excitation model cannot simulate the residual signal well in the high frequency band
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[0021] The present invention will be further described below with reference to the drawings and examples, and the steps and processes for realizing the present invention will be better described through the detailed description of each component of the system in conjunction with the drawings. It should be pointed out that the described examples are only considered for the purpose of illustration and not limitation of the present invention.
[0022] figure 1 It is a system schematic diagram of the harmonic noise excitation model vocoder based on inverse filtering of the present invention. The system is written in matlab language, and can be programmed and run by Matlab program under the windows platform and under the linux platform. in the attached figure 1 In a preferred embodiment of the present invention, the system is divided into six parts: parameter extraction module 1, inverse filter module 2, maximum voiced frequency estimation module 3, voiced excitation generation mo...
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The invention relates to a harmonic noise excitation model vocoder based on inverse filtering. The vocoder provided by the invention comprises a parameter extracting module, an inverse filtering module, a maximum voiced sound frequency estimation module, a voiced sound exciting and generating module, an unvoiced sound exciting and generating module and a parameter voice synthesizer module, wherein the parameter extracting module is used for receiving voice data and analyzing fundamental-frequency parameters and frequency-spectrum parameters; the inverse filtering module is used for receiving the frequency-spectrum parameters to design an inverse filter and obtaining residual signals without spectrum information; the maximum voiced sound frequency estimation module is used for receiving the fundamental-frequency parameters and residual parameters after inverse filtering, and calculating the maximum voiced sound frequency to divide the frequency spectrums of the residual signals into low-frequency-band harmonic waves and high-frequency-band noise; the voiced sound exciting and generating module is used for receiving the fundamental-frequency parameters and the maximum voiced sound frequency and constructing low-frequency harmonic waves and high-frequency noise in an exciting model by respectively using a group of sine waves and Gaussian white noise with high-pass filtering; the unvoiced exciting and generating module uses the Gaussian white noise; and the parameter voice synthesizer module is used for receiving the frequency-spectrum parameters and unvoiced sound exciting signals or voiced sound exciting signals and calling a synthesizer to output voice. In the harmonic noise excitation model vocoder, the modeling of the residual signals after inverse filtering is realized and the synthesized voice has better naturalness and articulation.
Description
technical field [0001] The invention relates to a mixed excitation model vocoder, in particular to a harmonic noise excitation model vocoder based on inverse filtering. Background technique [0002] Harmonious human-computer interaction technology has always been the object of people's attention. Vocoder technology is an important part of it. It can process a person's voice so that it can produce a voice close to natural human pronunciation. Its research results have a significant impact on parametric speech synthesis. The development of technology, speech coding technology, personalized speech synthesis technology, etc. is of great significance. However, most of the current vocoder technologies use a pulse plus white noise excitation model. This excitation model uses a pulse train to construct an excitation signal in the voiced segment. Due to the strong periodicity of the pulse train, the sound quality of the synthesized speech using this excitation model is not high. The...
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IPC IPC(8): G10L19/14G10L19/08G10L11/06G10L19/16
Inventor 陶建华温正棋
Owner 中科极限元(杭州)智能科技股份有限公司