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1	Description of acoustic variations by hidden Markov models with tree structure ...
	Hayamizu, Satoru; Lee, Kai-Fu; Hsiao-Wuen Hon. - : Carnegie Mellon University, 2007
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2	Description of acoustic variations by hidden Markov models with tree structure ...
	Hayamizu, Satoru; Lee, Kai-Fu; Hsiao-Wuen Hon. - : Carnegie Mellon University, 2007
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3	The SPHINX-II speech recognition system : an overview
	Huang, Xuedong; Alleva, Fileno A.; Hon, Hsiao-Wuen...
	In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 7 (1993) 2, 137-148
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4	Recognition and verification
	Shikano, Kiyohiro (Mitarb.); Itakura, Fumitada (Mitarb.); Ghitza, Oded (Mitarb.)...
	In: Advances in speech signal processing. - New York [u.a.] : Dekker (1992), 417-738
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5	Vocabulary and Environment Adaptation in Vocabulary-Independent Speech Recognition
	Hon, Hsiao-Wuen; Lee, Kai-Fu
	In: DTIC (1992)
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6	Recent Progress in Robust Vocabulary-Independent Speech Recognition
	Hon, Hsiao-Wuen; Lee, Kai-Fu
	In: DTIC (1991)
	Abstract: This paper reports recent efforts to improve the performance of CMU's robust vocabulary-independent (VI) speech recognition systems on the DARPA speaker-independent resource management task. The improvements are evaluated on 320 sentences that randomly selected from the DARPA June 88, February 89 and October 89 test sets. Our first improvement involves more detailed acoustic modeling. We incorporated more dynamic features computed from the LPC cepstra and reduced error by 15% over the baseline system. Our second improvement comes from a larger training database. With more training data, our third improvement comes from a more detailed subword modeling. We incorporated the word boundary context into our VI subword modeling and it resulted in a 30% error reduction. Finally, we used decision-tree allophone clustering to find more suitable models for the subword units not covered in the training set and further reduced error by 17%. All the techniques combined reduced the VI error rate on the resource management task from 11.1% to 5.4% (and from 15.4% to 7.4% when training and testing were under different recording environment). This vocabulary-independent performance has exceeded our vocabulary-dependent performance. first order differenced cepstra and power. Here, we add second order differenced cepstra and power. We also incorporateboth 40 msec and 80 msec differenced cepstraa. These new features yielded a 15% error rate reduction, about the same as was achieved on vocabulary-dependent tasks [7]. Our second improvement involves the collection of more general English data, from which we can model more phonetic variabilities, such as the word boundary context. Our experiment shows that adding 5,000 sentences to an original 15,000 sentence training set gives only a 3% error reduction.
	Keyword: *SPEECH RECOGNITION; ACOUSTICS; BASE LINES; BOUNDARIES; DATA BASES; DYNAMICS; ENGLISH LANGUAGE; ERRORS; Linguistics; MODELS; RATES; RECORDING SYSTEMS; RESOURCE MANAGEMENT; TRAINING; Voice Communications; WORDS(LANGUAGE)
	URL: http://www.dtic.mil/docs/citations/ADA460230 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460230
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7	Corrective and reinforcement learning for speaker-independent continuous speech recognition
	Lee, Kai-Fu; Mahajan, Sanjoy
	In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 4 (1990) 3, 231-245
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8	Recent progress and future outlook of the SPHINX speech recognition system
	Lee, Kai-Fu; Hon, Hsiao-Wuen; Hwang, Mei-Yuh...
	In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 4 (1990) 1, 57-69
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9	Speech recognition
	Lee, Kai-Fu (Mitarb.); Hon, Hsiao-Wuen (Mitarb.); Hwang, Mei-Yuh (Mitarb.)...
	In: Speech communication. - Amsterdam [u.a.] : Elsevier 9 (1990) 5-6, 497-564
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10	Systems
	Kimball, O.A. (Mitarb.); Krasner, M.A. (Mitarb.); Kubala, G.F. (Mitarb.)...
	In: Readings in speech recognition. - San Mateo, Calif. : Kaufmann (1990), 551-618
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11	Stochastic approaches
	Souza, Peter V. de (Mitarb.); Huang, X.D. (Mitarb.); Jack, M.A. (Mitarb.)...
	In: Readings in speech recognition. - San Mateo, Calif. : Kaufmann (1990), 263-370
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12	Automatic speech recognition : the development of the SPHINX system
	Lee, Kai-Fu. - Boston [u.a.] : Kluwer, 1989
	IDS Mannheim
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13	Word recognition in large vocabularies
	Niemann, H. (Hrsg.); Schukat-Talamazzini, E. Günter (Hrsg.); De Mori, Renato (Mitarb.)...
	In: Speech communication. - Amsterdam [u.a.] : Elsevier 7 (1988) 4, 333-431
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