Title :
Cross-spectral based formant estimation and alignment
Author_Institution :
U.S. Dept. of Defense, Ft. Meade, MD, USA
Abstract :
We develop new algorithms which address the problems of accurate frequency estimation and the comparison of the frequency content of two different spectra. We apply these algorithms to speech to estimate formants accurately from very little data and to estimate the frequency differences of individual formants of similar vowel instances. The first algorithm is a simple method for the construction of a very high-resolution, high-gain spectrum. This phase-reparameterized spectrum is based on a deterministic signal model and uses both Fourier phase and magnitude and accounts for all of the energy in the Fourier spectrum. To compare the formants of similar vowels, we introduce a spectral correlation algorithm based on an outer product rather than the inner product of conventional correlation.
Keywords :
Fourier transforms; correlation methods; frequency estimation; spectral analysis; speech processing; Fourier magnitude; Fourier phase; Fourier spectrum; cross-spectral based formant estimation; deterministic signal model; formant alignment; frequency content comparison; frequency difference estimation; frequency estimation; phase-reparameterized spectrum; short. time Fourier transform; spectral correlation algorithm; Correlation; Frequency estimation; Humans; Loudspeakers; Resonance; Signal processing; Signal processing algorithms; Speech processing; State estimation; Steady-state;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326334