基于WSOLA 算法的語音時長調整研究

目前的PSOLA 算法進行時長調整時, 其計算量大, 很難實現實時變速不變調處理。利用波形相似性來解決語音時長調整的WSOLA 算法, 實驗證明能生成高品質的語音; 在算法上高效、魯棒, 可以通過修改調整因子α實現連續范圍內的在線語音時長調整。此算法已應用在數字語音教學系統中, 具有良好的實時性和高品質語音。

PSOLA, a popular algorithm for time-scale modification, has heavy computation, which is very difficult for onling operation. Waveform similarity is proposed for tackling the problem of time-scale modification of speech, which is called WSOLA algorithm, through experiments produces the high quality speech output, is algorithmically and computationally efficient and robust, and allows for on-ling processing with arbitrary time-scaling actors chosen over a wide continuous range of values. The algorithm has already been used in the tutoring system of the digital speech, having good real-time quality and high quality speech.