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International School on Neural Networks, Initiated by IIASS and EMFCSC

NN 2004: Nonlinear Speech Modeling and Applications pp 164–198Cite as

Data Driven Approaches to Speech and Language Processing

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3445))

Abstract

Speech and language processing systems can be categorised according to whether they make use of predefined linguistic information and rules or are data driven and therefore exploit machine learning techniques to automatically extract and process relevant units of information which are then indexed and retrieved as appropriate. As an example, most state of the art automatic speech processing systems rely on a representation based on predefined phonetic symbols. The use of language dependent representations, whilst linguistically intuitive, has several drawbacks i.e. portability across languages, development time. Therefore, in this article, we review and present our recent experiments exploiting the idea inherent in the ALISP (Automatic Language Independent Speech Processing) approach, with particular respect to speech processing, where the intermediate representation between the acoustic and linguistic levels area is automatically inferred from speech data. We then present prospective directions in which the ALISP principles could be exploited by different domains such as audio, speech, text, image and video processing.

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Authors and Affiliations

  1. CNRS-LTCI, GET-ENST, 46 rue Barrault, 75634, Paris cedex 13, France

    Gérard Chollet & Kevin McTait

  2. GET-INT, Institut National des Télécommunications, 9 rue Charles Fourier, F-91011, Evry cedex, France

    Dijana Petrovska-Delacrétaz

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  1. Gérard Chollet
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  2. Kevin McTait
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  3. Dijana Petrovska-Delacrétaz
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Editors and Affiliations

  1. CNRS LTCI/TSI Paris, 46 rue Barrault, 75634, Paris Cedex 13, France

    Gérard Chollet

  2. Department of Psychology, Second University of Naples, and IIASS, Via Pellegrino 19, 84019, Vietri sul Mare, SA, Italy

    Anna Esposito

  3. Escola Universitària Politècnica de Mataró, Universitat Politècnica de Catalunya, Barcelona, Spain

    Marcos Faundez-Zanuy

  4. Dipartimento di Fisica “E.R. Caianiello”, Università degli Studi di Salerno, Via S. Allende, 84081, Baronissi, SA, Italy

    Maria Marinaro

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Chollet, G., McTait, K., Petrovska-Delacrétaz, D. (2005). Data Driven Approaches to Speech and Language Processing. In: Chollet, G., Esposito, A., Faundez-Zanuy, M., Marinaro, M. (eds) Nonlinear Speech Modeling and Applications. NN 2004. Lecture Notes in Computer Science(), vol 3445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11520153_8

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