Download e-book for iPad: An Introduction to Silent Speech Interfaces by João Freitas, António Teixeira, Miguel Sales Dias, Samuel

By João Freitas, António Teixeira, Miguel Sales Dias, Samuel Silva

ISBN-10: 3319401734

ISBN-13: 9783319401737

ISBN-10: 3319401742

ISBN-13: 9783319401744

This e-book presents a wide and finished review of the present technical methods within the sector of silent speech interfaces (SSI), either in idea and in software. each one strategy is defined within the context of the human speech construction method, permitting the reader to obviously comprehend the rules at the back of SSI in most cases and throughout varied tools. also, the e-book explores the mixed use of other info resources, gathered from a number of sensors, with the intention to take on the constraints of easier SSI techniques, addressing present demanding situations of this box. The e-book additionally offers information regarding present SSI purposes, assets and a straightforward educational on the right way to construct an SSI.

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Academic, New York Heistermann T, Janke M, Wand M, Schultz T (2014) Spatial artifact detection for multi-channel EMG-based speech recognition. In: Proceedings of the International conference on bio-inspired systems and signal processing, pp. 189–196 Herff C, Janke M, Wand M, Schultz T (2011) Impact of different feedback mechanisms in EMGbased speech recognition. Interspeech 12:2213–2216 Herff C, Heger D, de Pesters A, Telaar D, Brunner P, Schalk G, Schultz T (2015) Brain-to-text: Decoding spoken phrases from phone representations in the brain.

5 % word error rate (WER). In terms of UDS signal analysis, Livescu et al. (2009) studied the phonetic discrimination in the signal. In this study, the authors tried to determine a set of natural sub-word units, concluding that the most prominent groupings of consonants include both place and manner of articulation classes and that, for vowels, the most salient groups included close, open, and round vowels. In 2010, Srinivasan et al. (2010) were able to improve upon previous results and achieved an overall accuracy of 33 %, also on a continuous digit recognition task.

Front Neurosci 9:217. 00217 Hickok G (2012) Computational neuroanatomy of speech production. Nat Rev Neurosci 13:135–145 Indefrey P (2011) The spatial and temporal signatures of word production components: A critical update. Front Psychol 2:255. 00255 Iqbal S, Muhammed Shanir PP, Khan Y, Farooq O (2016) Time domain analysis of EEG to classify imagined Speech. In: Satapathy SC, Raju KS, Mandal JK, Bhateja V (eds) Proceedings of the Second international conference on computer and communication technologies, Advances in intelligent systems and computing.

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An Introduction to Silent Speech Interfaces by João Freitas, António Teixeira, Miguel Sales Dias, Samuel Silva


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