Eduardo Lleida

Also published as: Eduardo LLeida


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The Alborada-I3A Corpus of Disordered Speech
Oscar Saz | Eduardo Lleida | Carlos Vaquero | W.-Ricardo Rodríguez
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

This paper describes the Alborada-I3A corpus of disordered speech, acquired during the recent years for the research in different speech technologies for the handicapped like Automatic Speech Recognition or pronunciation assessment. It contains more than 2 hours of speech from 14 young impaired speakers and nearly 9 hours from 232 unimpaired age-matched peers whose collaboration was possible by the joint work with different educational and assistive institutions. Furthermore, some extra resources are provided with the corpus, including the results of a perceptual human-based labeling of the lexical mispronunciations made by the impaired speakers. The corpus has been used to achieve results in different tasks like analyses on the speech production in impaired children, acoustic and lexical adaptation for ASR and studies on the speech proficiency of the impaired speakers. Finally, the full corpus is freely available for the research community with the only restrictions of maintaining all its data and resources for research purposes only and keeping the privacy of the speakers and their speech data


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Design and acquisition of a telephone spontaneous speech dialogue corpus in Spanish: DIHANA
José-Miguel Benedí | Eduardo Lleida | Amparo Varona | María-José Castro | Isabel Galiano | Raquel Justo | Iñigo López de Letona | Antonio Miguel
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

In the framework of the DIHANA project, we present the acquisitionprocess of a spontaneous speech dialogue corpus in Spanish. Theselected application consists of information retrieval by telephone for nationwide trains. A total of 900 dialogues from 225 users were acquired using the “Wizard of Oz” technique. In this work, we present the design and planning of the dialogue scenes and the wizard strategy used for the acquisition of the corpus. Then, we also present the acquisition tools and a description of the acquisition process.


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AV@CAR: A Spanish Multichannel Multimodal Corpus for In-Vehicle Automatic Audio-Visual Speech Recognition
Alfonso Ortega | Federico Sukno | Eduardo LLeida | Alejandro Frangi | Antonio Miguel | Luis Buera | Ernesto Zacur
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)