Traitement parole And NotJ. H. L. Hansen
List of bibliographic references
Number of relevant bibliographic references: 28.| Ident. | Authors (with country if any) | Title |
|---|---|---|
| 000163 | Jérôme Simonin [France] ; Noëlle Carbonell [France] | Conception et évaluation ergonomique d'une aide en ligne multimodale incarnée par une tête parlante 3D: Conception et évaluation d'un ACA d'aide en ligne |
| 000560 | Solen Corvez [France] ; Fabrice Rouillier [France] | Using computer algebra tools to classify Serial manipulators |
| 000714 | Yannick Chevalier [France] ; Ralf Küsters [États-Unis] ; Michaël Rusinowitch [France] ; Mathieu Turuani [États-Unis] | Deciding the security of protocols with Diffie-Hellman Exponentiation and products in exponents |
| 000716 | R. State [France] ; O. Festor [France] ; I. Chrisment [France] | Context driven access control to SNMP MIB objects in multi-homed environments |
| 000785 | Joseph Di Martino [France] | On the use of high order derivatives for high performance alphabet recognition |
| 000A81 | M.-C. Haton [France] | Issues in using models for self evaluation and correction of speech |
| 000A93 | C. Cerisara [France] | Dealing with loss of synchronism in multi-band continuous speech recognition systems |
| 000A96 | Jean-Paul Haton [France] | Connectionist and hybrid models for automatic speech recognition |
| 000B31 | H. Hermansky [États-Unis, République tchèque] | Should recognizers have ears? |
| 000B33 | B. E. D. Kingsbury [États-Unis] ; N. Morgan [États-Unis] ; S. Greenberg [États-Unis] | Robust speech recognition using the modulation spectrogram |
| 000B36 | M. J. F. Gales [Royaume-Uni] | Predictive model-based compensation schemes for robust speech recognition |
| 000B39 | C.-H. Lee [États-Unis] | On stochastic feature and model compensation approaches to robust speech recognition |
| 000B50 | P. W. Shields [Royaume-Uni] ; D. R. Campbell [Royaume-Uni] | Intelligibility improvements obtained by an enhancement method applied to speech corrupted by noise and reverberation |
| 000B53 | M. Omologo [Italie] ; P. Svaizer [Italie] ; M. Matassoni [Italie] | Environmental conditions and acoustic transduction in hands-free speech recognition |
| 000B54 | I. Illina [France] ; M. Afify [France] ; Y. Gong [États-Unis] | Environment normalization training and environment adaptation using mixture stochastic trajectory model |
| 000B57 | J. De Veth [Pays-Bas] ; L. Boves [Pays-Bas] | Channel normalization techniques for automatic speech recognition over the telephone |
| 000B58 | O. Viikki [Finlande] ; K. Laurila [Finlande] | Cepstral domain segmental feature vector normalization for noise robust speech recognition |
| 000B61 | A. Hussain [Royaume-Uni] ; D. R. Campbell [Royaume-Uni] | Binaural sub-band adaptive speech enhancement using artificial neural networks |
| 000B64 | Y. Laprie [France] ; V. Colotte [France] | Automatic pitch marking for speech transformations via TD-PSOLA |
| 000B65 | J. Verhasselt [Belgique] ; I. Illina [France] ; J.-P. Martens [Belgique] ; Y. Gong [France] ; Jean-Paul Haton [France] | Assessing the importance of the segmentation probability in segment-based speech recognition |
| 000B69 | M. Afify [France] ; YIFAN GONG [États-Unis] ; Jean-Paul Haton [France] | A general joint additive and convolutive bias compensation approach applied to noisy lombard speech recognition |
| 000B73 | ||
| 000C95 | Y. Laprie [France] ; M. O. Berger [France] | Cooperation of regularization and speech heuristics to control automatic formant tracking |
| 000C98 | O. Siohan [France] ; Y. Gong [France] ; J. P. Haton [France] | Comparative experiments of several adaptation approaches to noisy speech recognition using stochastic trajectory models |
| 000D22 | Y. Gong [France] | Speech recognition in noisy environments: a survey |
| 000D24 | H. Li [France] ; J. P. Haton ; J. Su | Short-timed speech dynamics for speaker recognition |
| 000D50 | Y. Gong [France] ; Jean-Paul Haton [France] | Plausibility functions in continuous speech recognition: The VINICS system |
| 000D80 | Jean-Paul Haton [France] | Apport des techniques de l'intelligence artificielle aux services de communication: bilan et perspectives |
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