Title :
An accurate pitch detection algorithm
Author :
Medan, Y. ; Yair, E. ; Chazan, D.
Author_Institution :
IBM Israel Sci. & Technol. Center, Haifa, Israel
Abstract :
An accurate, robust, and reliable pitch detection scheme is outlined. The algorithm extracts the pitch with a very high resolution (i.e., as a real number) despite the finite (8-kHz) resolution of the sampled speech sequence. This makes it possible to analyze the pitch variation process in disarthric patients for medical purposes and to develop an accurate synchronous spectral analysis scheme. The computational complexity of the proposed algorithm is well below the capacity of modern digital signal processing technology and therefore can be implemented in real-time
Keywords :
computational complexity; spectral analysis; speech recognition; 8 kHz; computational complexity; disarthric patients; pitch detection algorithm; sampled speech sequence; synchronous spectral analysis; Bandwidth; Cities and towns; Detection algorithms; Linear approximation; Linear systems; Noise robustness; Pulse generation; Signal resolution; Spectral analysis; Speech processing;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28271
