Spectrogram-feature-based speech syllable and word recognition u

Details Spectrogram-feature-based speech syllable and word recognition u Spectrogram-feature-based speech syllable and word recognition u

1995-06-07

1997-10-07

MacDonald, Allen R.

395 218, 395 266, 395 277, G10L 708, G10L 906

Patent

active

056757050

ABSTRACT:
A speech recognizing device performing speech syllable recognition and language word identification. The speech syllable recognition is performed on an ensemble composed of nearly one thousand syllables formed by the human vocal system, which allows for variations caused by language dialects and speech accents. For syllable recognition, the nearly one thousand speech syllables, using a spectrogram-feature-based approach, are parsed in a hierarchical structure based on the region of the vocal system from where the syllable emanated from, root syllable from that vocal region, vowel-caused variation of the root syllable, and syllable duration. The syllable's coded representation includes sub-codes for each of the levels of this hierarchical structure. For identification, speech words composed of sequences of coded syllables are mapped to known language words and their grammatical attribute, using a syllabic dictionary where the same words spoken differently map to a known language word.

REFERENCES:
patent: 4707858 (1987-11-01), Fette
patent: 4813076 (1989-03-01), Miller
patent: 4820059 (1989-04-01), Miller et al.
patent: 5189727 (1993-02-01), Guerreri
James L. Flanagan, Speech Analysis, Synthesis, and Perception, 2nd ed., Springer-Verlag, pp. 163-181 1972.
A. S. Crowe, "Generalized Centroids: A New Perspective on Peak Picking and Formant Estimation," Seventh FASE Symposium 1988.
Marie-Odile Berger and Yves Laprie, "Global active method for automatic formant tracking guided by local processing," 11th IAPR International Conference on Pattern Recognition, vol. III, pp. 598-601 Aug. 1992.
Masahide Sugiyama, "Automatic Language Recognition Using Acoustic Features", Proc. IEEE ICASSP '91, pp. 813-816 May 1991.
Yeshwant K. Muthusamy, Ronald A. Cole, and Murali Gopalakrishnan, "A Segment-Based Approach to Automatic Language Identification", Proc. IEEE ICASSP '91, pp. 353-356 May 1991.
Michael Savic, Elena Acosta, and Sunil K. Gupta, "An Automatic Language Identification System", Proc. IEEE ICASSP '91, pp. 817-820 May 1991.
Marc A. Zissman, "Comparison of Four Approaches to Automatic Language Identification of Telephone Speech", IEEE Trans. on Speech and Audio Processing, vol. 4, No. 1, pp. 31-44 Jan. 1996.

Affiliated with

Also associated with

Rating

Spectrogram-feature-based speech syllable and word recognition u does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Spectrogram-feature-based speech syllable and word recognition u, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Spectrogram-feature-based speech syllable and word recognition u will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2364263