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Jenkin, K. L. and M. S. Scordilis (1996). Development and comparison of three syllable stress classifiers. In Proc. ICSLP'96, Philadelphia, USA, pp. 733--736.

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Lexical Stress Modeling for Improved Speech Recognition of.. - Wang, Seneff (2001)   (Correct)

....In [9] stress dependent phonological rules were applied for phone to phoneme mapping. In [10] hidden Markov models for weak strong and stressed unstressed syllables were applied to resort the recognizer N best outputs. A few studies also examined stress classification in continuous speech [11, 12]. However, no speech recognition experiments were performed incorporating the stress information. In general, previous research on using stress models in continuous speech recognition has been limited, and we have not found any work on spontaneous English speech reported in the literature. In ....

K. L. Jenkin and M. S. Scordilis, "Development and comparison of three syllable stress classifiers," in Proc. ICSLP'96, pp. 733-- 736, Philadelphia, PA, 1996.


Prosodic Modeling for Improved Speech Recognition and Understanding - Wang (2001)   (Correct)

.... of phones by visual examination of speech spectrograms achieved higher accuracies in stressed syllables than in unstressed or reduced syllables (Klatt and Stevens 1972; Lea 1973) and phoneme recognition by machine obtained much higher accuracy on stressed nuclei than on unstressed nuclei (Jenkin and Scordilis 1996). In addition, lexical studies have demonstrated that stressed syllables are more informative to word inference (Huttenlocher 1984; Carter 1987) and knowing the stress pattern of a word can greatly reduce the number of competing word candidates (Aull and Zue 1985) Clearly, lexical stress ....

....phonological rules were applied for phone to phoneme mapping. In (Jones and Woodland 1994) hidden Markov models for weak strong and stressed unstressed syllables were applied to resort the recognizer N best outputs. A few studies also examined stress classification in continuous speech (Jenkin and Scordilis 1996; van Kuijk and Boves 1999) however, no speech recognition experiments were performed using the resulting stress models. In general, previous research on using stress models in continuous speech recognition has been limited, and we have not found any work on spontaneous English speech reported in ....

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Jenkin, K. L. and M. S. Scordilis (1996). Development and comparison of three syllable stress classifiers. In Proc. ICSLP'96, Philadelphia, USA, pp. 733--736.


Prosodic Modeling for Improved Speech Recognition and Understanding - Wang (2001)   (Correct)

No context found.

Jenkin, K. L. and M. S. Scordilis (1996). Development and comparison of three syllable stress classifiers. In Proc. ICSLP'96, Philadelphia, USA, pp. 733--736.


Modeling and Automatic Detection Of English.. - Imoto, Tsubota.. (2002)   (Correct)

No context found.

K.L. Jenkin and M.S. Scordilis. "Development and Comparison of Three Syllable Stress Classifiers". In Proc. ICSLP, 1996.

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