Jesús Villalba, Eduardo Lleida, Alfonso Ortega, Antonio's Advances in Speech and Language Technologies for Iberian PDF

By Jesús Villalba, Eduardo Lleida, Alfonso Ortega, Antonio Miguel (auth.), Doroteo Torre Toledano, Alfonso Ortega Giménez, António Teixeira, Joaquín González Rodríguez, Luis Hernández Gómez, Rubén San Segundo Hernández, Daniel Ramos Castro (eds.)

ISBN-10: 364235291X

ISBN-13: 9783642352911

ISBN-10: 3642352928

ISBN-13: 9783642352928

This quantity constitutes the refereed complaints of the Spanish convention, IberSPEECH 2012: Joint VII “Jornadas en Tecnología del Habla” and III Iberian SLTech Workshop, held in Madrid, Spain, in November 21-23, 2012. The 29 revised papers have been conscientiously reviewed and chosen from eighty submissions. The papers are equipped in topical sections on speaker characterization and popularity; audio and speech segmentation; pathology detection and speech characterization; discussion and multimodal structures; robustness in computerized speech reputation; functions of speech and language technologies.

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Additional info for Advances in Speech and Language Technologies for Iberian Languages: IberSPEECH 2012 Conference, Madrid, Spain, November 21-23, 2012. Proceedings

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The algorithm tries to find the best sequence of mappings, by applying a cost function that makes use of both local and global information. e the evaluation of hypothesis in a frame takes into account the hypothesis defined in all previous frames unlike the Viterbi search [7, 9] which only uses previous state information. This feature allows to incorporate efficiently trajectory functions in the algorithm for representing the formant frequency dynamics. R. Gonz´ alez et al. ht . htU } where U is the total number of possible frequency mappings at frame t.

The number and types of comparable units for analysis is always a case-dependent subject, and therefore flexible strategies for analysis and combination are needed. The proposed approach gives an answer to this application framework, providing informative calibrated likelihood ratios for every linguistic unit under analysis. Moreover, the combination of the different units yields good discrimination capabilities allowing to obtain speaker detection performance levels similar to equivalent acoustic/spectral systems when enough usable units are available.

Since they do not remove any detail of the source spectrum, they yield high-quality converted speech judged as quite natural by listeners. However, the conversion accuracy they achieve is moderate because the FW procedure does not modify the relative amplitude of meaningful parts of the spectrum. For this reason, FW was combined with traditional GMM-based systems in several ways [11–13]. In all of these systems, the shape of the VC function had to be modified and more sophisticated signal models and vocoders had to be used to make this combination possible.

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Advances in Speech and Language Technologies for Iberian Languages: IberSPEECH 2012 Conference, Madrid, Spain, November 21-23, 2012. Proceedings by Jesús Villalba, Eduardo Lleida, Alfonso Ortega, Antonio Miguel (auth.), Doroteo Torre Toledano, Alfonso Ortega Giménez, António Teixeira, Joaquín González Rodríguez, Luis Hernández Gómez, Rubén San Segundo Hernández, Daniel Ramos Castro (eds.)


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