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A Comparative Study of Computational Models of Auditory Peripheral System

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A Comparative Study of Computational Models of Auditory Peripheral System

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dc.contributor.advisor Werner Hemmert es_ES
dc.contributor.advisor Marek Rudnicki es_ES
dc.contributor.author Vendrell Llopis, Nuria es_ES
dc.date.accessioned 2013-02-11T12:57:56Z
dc.date.available 2013-02-11T12:57:56Z
dc.date.created 2010-09-15
dc.date.issued 2013-02-11
dc.identifier.uri http://hdl.handle.net/10251/20433
dc.description.abstract A deep study about the computational models of the auditory peripheral system from three different research groups: Carney, Meddis and Hemmert, is presented here. The aim is to find out which model fits the data best and which properties of the models are relevant for speech recognition. To get a first approximation, different tests with tones have been performed with seven models. Then we have evaluated the results of these models in the presence of speech. Therefore, two models were studied deeply through an automatic speech recognition (ASR) system, in clean and noisy background and for a diversity of sound levels. The post stimulus time histogram help us to see how the models that improved the offset adaptation present the ¿dead time¿. For its part, the synchronization evaluation for tones and modulated signals, have highlighted the better result from the models with offset adaptation. Finally, tuning curves and Q10dB (added to ASR results) on contrary have indicated that the selectivity is not a property needed for speech recognition. Besides the evaluation of the models with ASR have demonstrated the outperforming of models with offset adaptation and the triviality of using cat or human tuning for speech recognition. With this results, we conclude that mostly the model that better fits the data is the one described by Zilany et al. (2009) and the property unquestionable for speech recognition would be a good offset adaptation that offers a better synchronization and a better ASR result. For ASR system it makes no big difference if offset adaptation comes from a shift of the auditory nerve response or from a power law adaptation in the synapse. es_ES
dc.format.extent 65 es_ES
dc.language Inglés es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject.other Ingeniería en Telecomunicación-Enginyeria en Telecomunicació es_ES
dc.title A Comparative Study of Computational Models of Auditory Peripheral System es_ES
dc.type Proyecto/Trabajo fin de carrera/grado es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Vendrell Llopis, N. (2010). A Comparative Study of Computational Models of Auditory Peripheral System. http://hdl.handle.net/10251/20433. es_ES
dc.description.accrualMethod Archivo delegado es_ES


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