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By Carla Lopes, Fernando Perdigão (auth.), António Teixeira, Vera Lúcia Strube de Lima, Luís Caldas de Oliveira, Paulo Quaresma (eds.)

ISBN-10: 3540859799

ISBN-13: 9783540859796

ISBN-10: 3540859802

ISBN-13: 9783540859802

This e-book constitutes the completely refereed lawsuits of the eighth foreign Workshop on Computational Processing of the Portuguese Language, PROPOR 2008, held in Aveiro, Portugal, in September 2008.

The 21 revised complete papers and sixteen revised brief papers awarded have been conscientiously reviewed and chosen from sixty three submissions. The papers are prepared in topical sections on speech research; ontologies, semantics and anaphora answer; speech synthesis; laptop studying utilized to traditional language processing; speech attractiveness and functions; traditional language processing instruments and functions; posters.

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Extra info for Computational Processing of the Portuguese Language: 8th International Conference, PROPOR 2008 Aveiro, Portugal, September 8-10, 2008 Proceedings

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However, home automation systems are limited-domain ASR applications; we mitigate this drawback by tailoring the recognition vocabulary to the specific domain needs. Consequently, our speakerindependent (SI) home automation system with the MA interface is able to perform home automation tasks with no specific adaptation of the acoustic models. Nevertheless, it is possible to personalize the SDS system, tagging the butler commands with an activation word, namely the butler’s name “Ambrósio”. With this feature, the VB is able to respond only to the specific user’s speech, while speech commands are processed in a SI basis.

SFU SDS Speech Enhancement Speech Input DoA Estimation Face Position Control VAD MA Fig. 3. E. J. P. Neto Since the SDS input accepts a single channel input source, the multi-channel audio from the MA must be pre-processed. This task is done in real-time in the SFU. For speech enhancement, we apply the Delay-and-Sum Beamforming (DnSB) [13] algorithm that, when compared to the adaptive beamformers, has the advantage of providing less high-frequency spectral distortion to the desired speech signal and has a lower computational cost.

The MA interface enables to create ubiquitous speech acquisition for the SDS. The implemented system allows any user – in any position in a room – to establish a dialog with a virtual butler that is able to control a wide range of home appliances (room lights, airconditioner, windows shades and hi-fi features). This virtual butler has a 3D animated face that is, while the dialog is engaged, able to steer to the user’s position and respond to his/hers commands with synthesized speech. The presented results show that the MA, as distant talk interface, performs quite well and is a step towards a more realistic human-machine interaction.

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Computational Processing of the Portuguese Language: 8th International Conference, PROPOR 2008 Aveiro, Portugal, September 8-10, 2008 Proceedings by Carla Lopes, Fernando Perdigão (auth.), António Teixeira, Vera Lúcia Strube de Lima, Luís Caldas de Oliveira, Paulo Quaresma (eds.)


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