Aalysis and Wavetable Synthesis in Musical

• Main Authors: Fuh, Jin-Chyuan, 傅金泉
• Other Authors: Shih-Fu Hsieh
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/92245577300202274452

碩士 === 國立交通大學 === 電信研究所 === 85 === In computer music, music synthesis reduce the memory cost efficiently. Frequency-based analysis is a popular and easy way in computer music. The sepectra of most instruments aretime- varying. Synthesis matching procedure begins with a time-varying spectral analysis of the original music tone. Short-time Fourier analysis is needed to get the overall time-varyingspectra of an instrument tone. Wavetable synthesis model is a popular synthesis method because of efficiency and performance. In finding bases ( Wavetable ), We use four methods ( clustering, PCA, Group-additive and centroid-mapping ) to explore the feature of the time-varying spectra. Over 50% memory is reduced for each instrument tone and the synthetic tone sound indistinguishablefrom the original one. For multiple pitched tones of an instrument,We try to find a general set of wavetables to synthesize them. In the thesis, we compare these four methods with their performance and complexity. LBG algorithm is the easiest way tofind the bases and achieve a good performance but it results in local minimal problem.