Assignment of phonemes to the graphemes producing them

Data processing: speech signal processing – linguistics – language – Speech signal processing – Synthesis

Reexamination Certificate

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C704S266000, C704S241000

Reexamination Certificate

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09943091

ABSTRACT:
The assignment of phonemes to graphemes producing them in a lexicon having words (grapheme sequences) and their associated phonetic transcription (phoneme sequences) for the preparation of patterns for training neural networks for the purpose of grapheme-phoneme conversion is carried out with the aid of a variant of dynamic programming which is known as dynamic time warping (DTW).

REFERENCES:
patent: 4384273 (1983-05-01), Ackland et al.
patent: 5732388 (1998-03-01), Hoege et al.
patent: 6029135 (2000-02-01), Krasle
patent: 6076059 (2000-06-01), Glickman et al.
patent: 6094633 (2000-07-01), Gaved et al.
patent: 6212500 (2001-04-01), Kohler
patent: 6236965 (2001-05-01), Kim et al.
patent: 6363342 (2002-03-01), Shaw et al.
patent: 6411932 (2002-06-01), Molnar et al.
patent: 19636739 (1997-07-01), None
patent: 19719381 (1998-01-01), None
patent: 69420955 (2000-07-01), None
patent: WO 94/23423 (1994-10-01), None
“Dynamic programming algorithm optimization for spoken word recognition”, Sakoe, H.; Chiba, S., Acoustics, Speech, and Signal Processing, IEEE Transactions on, vol. 26, Iss. 1, Feb. 1978, pp. 43-49.
Luk et al., “Inference of letter-phoneme correspondences with pre-defined consonant and vowel patterns”, ICASSP-93, vol. 2, 27-30, Apr. 1993, pp. 203-206.
Luk et al., “A Novel Approach to Inferring Letter-Phoneme Correspondences”, Speech Processing 2, VLSI, Underwater Signal Processing, Toronto, May 14-17, 1991, International Conference on Acoustics, Speech & Signal Processing, ICASSP, New York, IEEE, US, vol. 2, Conf. 16, Apr. 14, 1991, pp. 741-744, XP010043082, ISBN: 0-7803-0003-3.
Nakagawa, “Speaker-Independent Consonant Recognition in Continuous Speech by a Stochastic Dynamic Time Warping Method”, Eighth International Conference on Pattern Recognition, Proceedings (CAT. No. 86CH2342-4), Paris, France, Oct. 27-31, 1986, pp. 925-928, XP008012464, 1986 Washington, DC, USA, IEEE Compt. Soc. Press, USA, ISBN: 0-8186-0742-4.
Kruskal et al., “An Anthology of Algorithms and Concepts for Sequence Comparison”, Time Warps, String Edits and Macromolecules: The Theory and Practice of Sequence Comparison, Addison-Wesley Publishing Co., Amsterdam, NL, pp. 265-310, XP000570580.
Besling, “A Statistical Approach to Multilingual Phonetic Transcription”, Philips Journal of Research, Elsevier, Amsterdam, NL, vol. 49, No. 4, 1995, pp. 367-379, XP004000261, ISSN: 0165-5817.
Luk et al., “Inference of Letter-Phoneme Correspondences by Delimiting and Dynamic Time Warping Techniques”, Digital Signal Processing 2, Estimation, VLSI. San Francisco, Mar. 23-26, 1992, Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Yourk, IEEE, US, vol. 5 Conf. 17, Mar. 23, 1992, pp. 61-64, XP010058860, ISBN: 0-7803-0532-9.
Hoffmann, “signalanayse und-erkennung,” Springer Verlag, Berlin, Heidelberg, 1998, pp. 380-404.
Rabiner et al., “Fundamentals of Speech Recognition,” Englewood Cliffs, Prentice Hall 1993 (Prentice Hall Signal Processing Series), pp. 200-241.
Stefan Besling, “Heuristical and Statistical Methods for Grapheme-to-Phoneme Conversion,” Proceedings KONVENS 94, Wien, pp. 23-31.

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