Chinese Spoken Language Processing: 5th International by Stephanie Seneff (auth.), Qiang Huo, Bin Ma, Eng-Siong Chng,

By Stephanie Seneff (auth.), Qiang Huo, Bin Ma, Eng-Siong Chng, Haizhou Li (eds.)

This ebook constitutes the completely refereed complaints of the fifth overseas Symposium on chinese language Spoken Language Processing, ISCSLP 2006, held in Singapore in December 2006, co-located with ICCPOL 2006, the twenty first overseas convention on machine Processing of Oriental Languages.

The seventy four revised complete papers offered including five invited papers have been rigorously reviewed and chosen from 183 submissions. The papers are prepared in topical sections on subject matters in speech technology, speech research, speech synthesis and new release, speech enhancement, acoustic modeling for computerized speech attractiveness, strong speech reputation, speech adaptation/normalization, common themes in speech popularity, huge vocabulary non-stop speech acceptance, multilingual popularity and identity, speaker attractiveness and characterization, spoken language realizing, human language acquisition, improvement and studying, spoken and multimodal conversation platforms, speech information mining and record retrieval, computer translation of speech, in addition to spoken language assets and annotation.

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Additional resources for Chinese Spoken Language Processing: 5th International Symposium, ISCSLP 2006, Singapore, December 13-16, 2006. Proceedings

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26 J. Yuan 400 70 Tone1 380 Tone2 Tone3 Tone4 Tone1 Tone2 Tone3 Tone4 S-Q S-Q S-Q S-Q 68 Mean Intensity (dB) Mean Duration (ms) 360 340 320 300 66 64 280 62 260 240 60 S-Q S-Q S-Q S-Q Fig. 5. Duration and intensity difference between statement and question intonation for each of the final tones (S: Statement; Q: Question) We can also see from Figure 5 that each final tone has a higher intensity in question intonation than in statement intonation. The difference between them, however, is the largest for Tone2 and the smallest for Tone4.

Affective meaning could be produced by nonstandard usage of these respective codes, depending on the degree of context-dependent emotional marking. If this assumption is correct, one could imagine that the neural mechanisms that underlie the perceptual processing of the two types of affect messaging via prosodic variation are different, both with respect to the neural structures and circuits involved and to the nature and timing of the respective processes. , statements or questions). If the prosodic communication of emotional content via the configuration principle uses a nonstandard, or marked, version of linguistic-pragmatic prosody identifying message type, it would be useful to first identify the potential neural processing differences between covariation-based emotion prosody patterns and linguisticpragmatically coded prosodic message types.

Peabody, S. Seneff, and C. Wang, “Mandarin Tone Acquisition through Typed Dialogues,” 173–176, InSTIL Symposium on Computer Assisted Language Learning, Venice, Italy, 2004. 23. M. Peabody and S. Seneff, “Towards Automatic Tone Correction in Non-native Mandarin,” Submitted to ISCSLP ’06, 2006. 24. S. Sato, “CTM: an example-based translation aid system using the character-based match retrieval method,” Proc. COLING, 1992. 25. S. Seneff, E. Hurley, R. Lau, C. Pao, P. Schmid, and V. Zue, “Galaxy-II: A Reference Architecture for Conversational System Development,” ICSLP ’98, 931–934, Sydney, Australia, December, 1998.

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