5 resultados para workshops

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


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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.

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LCC Reconocimiento-NoComercial-SinObraDerivada 3.0 España

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[EU]Proiektu honen bidez, laser bidezko tenplaketaren ondoriozko piezen gainazalen distortsioaren neurketa kuantitatiboa eta tratamendu honegatik eratorri daitezkeen hondar tentsioen azterketa egin nahi izan da. Hauxe burutzeko hondar tentsioen neurketarako Contour metodoa erabili da, elektro-higadurako ebaketa eginez. IGET Bilboko mekanikako tailerreko ingurugiroan eta bertako langileen inbestigazio lerroetan barneratzeko helburuz, laser tenplaketa tratamenduen azterketan lagungarria izateko xedearekin aurrera eraman da proiektu hau.

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[ES] Este trabajo de intervención, construido desde la perspectiva sociocrítica, presenta una intervención socioeducativa desarrollada en la ciudad de Aracaju, Brasil. La citada intervención, en, con y para un grupo de personas con escasos recursos económicos, sobre todo mujeres, se basa en la cooperación al desarrollo entendido como instrumento capaz de generar experiencias que posibilitan hacer frente a las consecuencias nefastas de los modelos económico, cultural, político y social dominantes en la actualidad. Entre los impactos de este trabajo podemos citar la fundación de una asociación de vecinas y vecinos, la creación de un perfil de dicha asociación en Facebook y la puesta en marcha de acciones comunitarias como un bingo solidario, talleres de empoderamiento de mujeres y un bazar solidario. Los resultados de este trabajo permiten afirmar que urge el fomento de estrategias, medidas y acciones que favorezcan el paso de un modelo asistencial a un modelo de autonomía.

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The surge of the Internet traffic with exabytes of data flowing over operators mobile networks has created the need to rethink the paradigms behind the design of the mobile network architecture. The inadequacy of the 4G UMTS Long term Evolution (LTE) and even of its advanced version LTE-A is evident, considering that the traffic will be extremely heterogeneous in the near future and ranging from 4K resolution TV to machine-type communications. To keep up with these changes, academia, industries and EU institutions have now engaged in the quest for new 5G technology. In this paper we present the innovative system design, concepts and visions developed by the 5G PPP H2020 project SESAME (Small cEllS coordinAtion for Multi-tenancy and Edge services). The innovation of SESAME is manifold: i) combine the key 5G small cells with cloud technology, ii) promote and develop the concept of Small Cellsas- a-Service (SCaaS), iii) bring computing and storage power at the mobile network edge through the development of nonx86 ARM technology enabled micro-servers, and iv) address a large number of scenarios and use cases applying mobile edge computing. Topics: