Title :
Super resolution pitch determination of speech signals
Author :
Medan, Yoav ; Yair, Eyal ; Chazan, Dan
Author_Institution :
IBM Israel Sci. & Technol. Center, Haifa, Israel
fDate :
1/1/1991 12:00:00 AM
Abstract :
Based on a new similarity model for the voice excitation process, a novel pitch determination procedure is derived. The unique features of the proposed algorithm are infinite (super) resolution, better accuracy than the difference limen for F0, robustness to noise, reliability, and modest computational complexity. The algorithm is instrumental to speech processing applications which require pitch synchronous spectral analysis. The computational complexity of the proposed algorithm is well within the capacity of modern digital signal processing (DSP) technology and therefore can be implemented in real time
Keywords :
computational complexity; speech analysis and processing; computational complexity; digital signal processing; infinite resolution; pitch determination; pitch synchronous spectral analysis; reliability; robustness to noise; similarity model; speech processing applications; speech signals; super resolution; voice excitation process; Computational complexity; Intensity modulation; Personal digital assistants; Pulse modulation; Quantization; Signal processing; Signal resolution; Spectral analysis; Speech coding; Speech processing;
Journal_Title :
Signal Processing, IEEE Transactions on