Multimodal Signal Processing: Theory and Applications for by Jean-Philippe Thiran, Ferran Marqués, Hervé Bourlard

By Jean-Philippe Thiran, Ferran Marqués, Hervé Bourlard

Multimodal sign processing is a vital study and improvement box that methods indications and combines details from quite a few modalities – speech, imaginative and prescient, language, textual content – which considerably increase the certainty, modelling, and function of human-computer interplay units or platforms improving human-human communique. The overarching topic of this e-book is the appliance of sign processing and statistical computer studying strategies to difficulties coming up during this multi-disciplinary box. It describes the functions and boundaries of present applied sciences, and discusses the technical demanding situations that has to be triumph over to increase effective and simple multimodal interactive structures.

With contributions from the major specialists within the box, the current publication may still function a reference in multimodal sign processing for sign processing researchers, graduate scholars, R&D engineers, and computing device engineers who're attracted to this rising field.

  • Presents state-of-art tools for multimodal sign processing, research, and modeling
  • Contains quite a few examples of structures with diversified modalities combined
  • Describes complex functions in multimodal Human-Computer interplay (HCI) in addition to in computer-based research and modelling of multimodal human-human communique scenes.

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Additional resources for Multimodal Signal Processing: Theory and Applications for Human-Computer Interaction (Eurasip and Academic Press Series in Signal and Image Processing)

Sample text

The foundations of this unit selection-based speech synthesis approach was laid in [47] and quickly led to the development of the AT&T NextGen TTS system [48]. 1). For every target unit ti required (for example, for every diphone to be synthesised), the selection algorithm first proposes a list of candidate units from the speech database, each in a different context (and in general not exactly in the same context as the target unit). 4. Units may still be diphones, although phonemes and subphonetic units such as half-phonemes can be used as alternatives when complete diphones are not available with the required pitch and duration.

4. 5. 6. 7. 3. 1. 2. 4. 1. 2. 3. 4. 5. Conclusions References 28 Multimodal Signal Processing, ISBN: 9780123748256 Copyright 0 2010 Elsevier Ltd. All rights reserved. 1 ~~~~ Ii Signal Processing, Modelling and Related Mathematical Tools INTRODUCTION Text-to-speech (TTS) synthesis is often seen by engineers as an easy task compared with automatic speech recognition’ (ASR). It is true, indeed, that it is easier to create a bad, first trial TTS system than to design a rudimentary speech recogniser.

Fundamentally novel paradigms are also being developed, but the flexibility of the traditional approach kept attracting research in the recent years, often focusing on improving or replacing individual components of the system, on addressing identified bottlenecks or on gradually relaxing assumptions made in these models. Major technological progress is being recorded regularly. However, there are still technological barriers to flexible solutions and user satisfaction under all circumstances. These are likely related to weaknesses at all stages, including the possibly weak representation of grammatical and semantic knowledge compared to human knowledge.

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