Adaptive WRLS-VFF for speech analysis

• Published in: IEEE transactions on speech and audio processing Vol. 3; no. 3; pp. 209 - 213
• Main Authors: Childers, D.G., Principe, J.C., Ting, Y.T.
• Format: Journal Article
• Language: English
• Published: IEEE 01-05-1995
• Subjects: Algorithm design and analysis; Bandwidth; Estimation error; Filtering algorithms; Gaussian noise; Least squares methods; Noise measurement; Parameter estimation; Speech analysis; Speech enhancement
• ISSN: 1063-6676; 1558-2353
• DOI: 10.1109/89.388148

The paper shows that an adaptive weighted recursive least squares algorithm with a variable forgetting factor (WRLS-VFF) will adjust the size of the data segment to be analyzed according to its time-varying characteristics, as during the transitions between vowels and consonants. The algorithm can accurately estimate the vocal tract formants, anti-formants, and their bandwidths, be used for glottal inverse filtering, perform voiced (V)/unvoiced (U)/silent (S) classification of speech segments, estimate the input excitation (either white noise or periodic pulse trains), and estimate the instant of glottal closure.< >