Title :
New pitch detection algorithm based on wavelet transform
Author_Institution :
Dept. de Telecommun. i Arquitectura de Computadors, EUPMT, Barcelona, Spain
Abstract :
A new pitch detection algorithm based on wavelet transform analysis is presented. This algorithm uses a family of modulated Gaussian wavelets adapted to the Bark scale to analyse speech signals decomposing the input signal into different bands. Then, a maxima detector and a new confirmation algorithm are used to extract pitch period information. Evaluation results and comparison tests with standard SIFT algorithm are presented
Keywords :
Gaussian processes; signal detection; speech processing; wavelet transforms; Bark scale; comparison tests; confirmation algorithm; maxima detector; modulated Gaussian wavelets; pitch detection algorithm; pitch period information extraction; speech signals; standard SIFT algorithm; wavelet transform; Algorithm design and analysis; Bandwidth; Continuous wavelet transforms; Detection algorithms; Frequency; Signal analysis; Signal processing algorithms; Speech analysis; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-7803-5073-1
DOI :
10.1109/TFSA.1998.721387
