B. Yegnanarayana. Extraction of Vocal-Tract System Characteristics from Speech Signals. IEEE Transactions on Speech and Audio Processing, 6(4):313--327, July 1998. Home/Search Document Details and Download
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Formant Analysis And Synthesis Using Hidden Markov Models - Acero (1999) (5 citations) (Correct)
....is significantly more natural and resembles (like in the case of concatenative synthesizers) the original speaker used to train the model. The goal is to have a data driven formant synthesizer. To train a statistical model for formants, we need to be able to track them. Automatic formant trackers [8] have attracted a great deal of interest, mostly because formant frequencies are critical in speech perception. Many such algorithms often miss a formant when one is present, insert a formant when there is none, or mislabel them (such as label F1 as F2, or F3 as F2) mostly because of incorrectly ....
....and bandwidth respectively of the i th root. Real roots are discarded and complex roots are sorted by increasing f, discarding negative values. The remaining pairs ( f i ,b ) are the formant candidates. Traditional formant trackers discard roots whose bandwidth is higher than a threshold [8], say 200Hz, and formant alignment from one frame to another is generally done using heuristics. This implies that a given frame could have no formants, only one formant (either first, second or third) two, three or more. In the proposed approach, no formant candidates are eliminated at the ....
Yegnanarayana B. and Veldhuis R. N. J. "Extraction of Vocal-Tract System Characteristics from Speech Signals". IEEE Trans. on Speech and Audio Processing, vol. 6, pp.
Speech Enhancement Using Excitation Source Information - Yegnanarayana Mahadeva.. (2002) Self-citation (Yegnanarayana) (Correct)
....In the final section some issues for further study are discussed. 2. SPEECH ENHANCEMENT USING MODIFIED LP RESIDUAL The basis for the proposed enhancement method is the fact that in voiced speech the significant excitation of the vocal tract system takes place at the instant of glottal closure [6, 7, 8, 9, 10]. The excitation is significant because the strength of excitation is highest at that instant in each glottal cycle. The SNR of the speech signal is also high in the region around the instant which can be exploited for speech enhancement. The signals from multiple microphones have the same ....
B. Yegnanarayana and N. J. Veldhuis, "Extraction of vocal-tract system characteristics from speech signals, " IEEE Trans. Speech Audio Processing, vol. 6, no. 4, pp. 313--327, July 1998.
A Stereo Vision Lip Tracking Algorithm and Subsequent Statistical .. - Goecke (2004) (Correct)
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B. Yegnanarayana. Extraction of Vocal-Tract System Characteristics from Speech Signals. IEEE Transactions on Speech and Audio Processing, 6(4):313--327, July 1998.
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