混合激勵線性預測低速率語音編碼研究

2512814 2011-01-04 | rar | 847 | 次下載 | 3積分

資料介紹

為了滿足數字通信及其他商業應用的需求,語音壓縮編碼技術得到迅速發展。近年來主流的低速率語音編碼方案主要基于LPC-10,混合激勵線性預測（MELP），多帶激勵編碼（MBE），正弦變換編碼（SCI），波形內插編碼（WI），大多都工作在2.4kb/s速率下。作為一種重要的低速率語音編碼算法，MELP算法對LPC-10編碼方案進行大量改進，引入混合激勵，非周期脈沖，殘差付氏幅度譜，脈沖散布和自適應譜濾波5個特征。實驗結果表明，該混合激勵線性預測編碼在2.4kb/s上得到了更好的合成語音，并使得合成語音能更好地擬

Abstract:: ?In order to satisfy demands of the digital communication and other commercial applications，the speech compres-sion technology has been developed rapidly.There are several main LBRSC prevailing in recent years,such as line predic-tion coding（LPC-10），mixed excitation line prediction（MELP），multi-band excitation（MBE）,sinusoidal transform cording（STC），and waveform interpolation（WI）,most of which works at the rate of2.4kb/s.MELP algorithm is based on the basis of Line Prediction（LP）.Five characters has been introduced into MELP algorithm，they are mixed excitation，a periodic pulse，Fourier magnitudes pulse dispersion and adaptive spectral filtering.The experimental results show that the mixed ex-citation linear predictive coding in the2.4kb/s gives a better synthesized speech，and makes the synthesized speech to better fit the natural voice.