3 resultados para Book clubs (Discussion groups)

em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco


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El V Seminario de "El aula como ámbito de investigación sobre la enseñanza y aprendizaje de la lengua" se celebró en la Universidad del País Vasco (UPV/EHU), dando continuidad a los seminarios ya celebrados en la Universidad Autónoma de Barcelona, en la Universidad de Valencia, en la Universidad de Valladolid y en la Universidad de Braga (Portugal).

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Resumen: El presente estudio ha intentado conocer la perspectiva que tienen las y los adolescentes de Santurtzi sobre el sexismo, eligiendo la adolescencia por su carácter fundamental en el desarrollo vital. Partimos de una investigación cualitativa llevada a cabo con 17 adolescentes a través de grupos de discusión sobre sexismo, patriarcado y alternativas de construcción personal, como son el movimiento feminista y el movimiento de nuevas masculinidades. Hemos podido corroborar el desconocimiento que todavía existe en materia de igualdad y la necesidad de intervenciones socioeducativas que de ello se desprenden, para así continuar con la lucha contra el patriarcado y contra la discriminación hacia la mujer, desde la perspectiva que nos aporta el sexismo ambivalente.

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Query-by-Example Spoken Term Detection (QbE STD) aims at retrieving data from a speech data repository given an acoustic query containing the term of interest as input. Nowadays, it has been receiving much interest due to the high volume of information stored in audio or audiovisual format. QbE STD differs from automatic speech recognition (ASR) and keyword spotting (KWS)/spoken term detection (STD) since ASR is interested in all the terms/words that appear in the speech signal and KWS/STD relies on a textual transcription of the search term to retrieve the speech data. This paper presents the systems submitted to the ALBAYZIN 2012 QbE STD evaluation held as a part of ALBAYZIN 2012 evaluation campaign within the context of the IberSPEECH 2012 Conference(a). The evaluation consists of retrieving the speech files that contain the input queries, indicating their start and end timestamps within the appropriate speech file. Evaluation is conducted on a Spanish spontaneous speech database containing a set of talks from MAVIR workshops(b), which amount at about 7 h of speech in total. We present the database metric systems submitted along with all results and some discussion. Four different research groups took part in the evaluation. Evaluation results show the difficulty of this task and the limited performance indicates there is still a lot of room for improvement. The best result is achieved by a dynamic time warping-based search over Gaussian posteriorgrams/posterior phoneme probabilities. This paper also compares the systems aiming at establishing the best technique dealing with that difficult task and looking for defining promising directions for this relatively novel task.