Characteristic waveform decomposition and reconfiguration method based on Haar wavelet exaltation

A characteristic waveform and wavelet lifting technology, applied in the field of speech coding, can solve problems such as the inability to obtain efficient coding results, and achieve the effects of being beneficial to real-time applications, easy to implement, and simple to transform

Inactive Publication Date: 2007-02-28
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

This method of averaging and decomposing eigenwaves is simple

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  • Characteristic waveform decomposition and reconfiguration method based on Haar wavelet exaltation
  • Characteristic waveform decomposition and reconfiguration method based on Haar wavelet exaltation
  • Characteristic waveform decomposition and reconfiguration method based on Haar wavelet exaltation

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Embodiment Construction

[0021] The present invention will be further introduced below in conjunction with the accompanying drawings and embodiments. The present invention is mainly aimed at the implementation method of the characteristic waveform decomposition and reconstruction process in the characteristic waveform interpolation speech coding algorithm, and is applicable to any characteristic waveform interpolation speech coding algorithm that needs to decompose and reconstruct the characteristic wave surface.

[0022] For example, the characteristic waveform interpolation speech coding algorithm encodes and decodes the input narrow-band 8kHz sampled speech, and the extraction rate of the characteristic wave is set to 400Hz, that is, 8 characteristic waveforms are extracted from a frame of speech of 20ms. After the current analysis frame is preprocessed, linear predictive analysis and pitch period estimation, a characteristic waveform is extracted from the prediction residual every 2.5ms according t...

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Abstract

The invention relates to a character wave shape decomposition and reconstruction method based on Haar wavelet increase, wherein it uses wavelet interpolation (WI) voice code algorism; before decomposing the character wave shape extracted by present analysis frame, first transforming the amplitude spectrum of disperse time Fourier level (DTFS) into disperse cosine transformation (DCT) factor, then using the increase method of Haar wavelet transformation to multistage decompose and reconstruct the character wave, to code the decompose parameter of each level, and use the average value of phase spectrum distance and the basic sound period increment to judge the dull sound mark of present frame, to decide the fixed phase spectrum or random phase spectrum of code end. The Haar wavelet increase method can reduce the calculation complexity and memory space in the decomposition and reconstruction of character wave shape, without algorism delay, to obtain right composed sound quality in low speed of wave shape interpolation code algorism.

Description

technical field [0001] The invention relates to the field of speech coding, in particular to a low-rate characteristic waveform interpolation speech coding algorithm, mainly a characteristic waveform decomposition and reconstruction method based on Haar wavelet lifting. Background technique [0002] In the field of low-speed speech coding, among many speech coding algorithms whose coding rate is below 4kbit / s, the waveform interpolation speech coding algorithm has great potential and has attracted widespread attention. It was proposed by Dr. W.B.Kleijin of the Royal Swedish Institute of Technology in the 1990s. In 1991 and 1994, the prototype waveform interpolation (PWI, Prototype Waveform Interpolation) and the characteristic waveform interpolation (CWI, Characteristic Waveform Interpolation) coding algorithm were proposed. The CWI algorithm performs unified model coding on unvoiced and voiced sounds, which is the focus of research on low-bit-rate waveform interpolation spe...

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Application Information

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IPC IPC(8): G10L19/00G10L19/02
Inventor 王晶赵胜辉匡镜明
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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