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Research on Mixed Excitation Linear Prediction Speech Coding Algorithm

Author: FanJing
Tutor: HeYingMin
School: Harbin Engineering University
Course: Signal and Information Processing
Keywords: Speech coding MELP Mixed excitation Pitch period LSF
CLC: TN912.3
Type: Master's thesis
Year: 2008
Downloads: 106
Quote: 1
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Abstract


With the rapid development of communications technology , and real-time transmission of Internet voice technology , voice transfer rate and storage capacity of high demands, one of the main ways to solve these problems is a speech coding . Therefore , the study of speech coding , especially in low bit rate speech coding , has a very important practical significance . In existing speech coding , the mixed excitation linear predictive speech coding (MELP) is a better method , which combines the binary excitation the code excitation and multi-band excitation advantage , the short-time speech segment is divided into a number of sub-band , respectively , in each sub-band unvoiced discriminating ; in the synthesis side , the mixing sequence to a sequence of periodic pulses and random noise excitation speech synthesis filter , in the lower bit rate to get a better regeneration voice . The 2.4kbps mixed excitation linear predictive speech coding has been established as the new U.S. Federal speech coding standards . The dissertation research MELP speech codec algorithm principle , its codec to do a more in-depth research , we can also make certain improvements in the pitch period and the linear prediction coefficients quantify this . In the standard MELP algorithm , for the voice signal segment contain irregular cycles , the calculated mutual correlation value is small, and mistakenly believe that it is unvoiced , and therefore introduces noise . Here used a method of changing the algorithm of the pitch period , the more accurate calculation of the pitch period . In addition, in the process of LSF quantization , the codebook storage amount and complexity of computation are great. For this problem , we propose three vector quantization method , which can MELP bit rate drops about 2.1kbps , there is still a good quality of synthetic speech . Finally, the MATLAB programming environment the MELP algorithm and its improved the MELP algorithm simulation , the simulation results show that after the decoded voice signal and improved voice signal output waveform of the original speech signal waveform is very similar , but in energy voiced synthesized speech waveform relatively large amplitude and delay , in order to verify the feasibility of the proposed algorithm .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Electro-acoustic technology and speech signal processing > Speech Signal Processing
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