Get Advances in Nonlinear Speech Processing: International PDF

By Christophe d’Alessandro, Baris Bozkurt, Boris Doval, Thierry Dutoit, Nathalie Henrich (auth.), Mohamed Chetouani, Amir Hussain, Bruno Gas, Maurice Milgram, Jean-Luc Zarader (eds.)

This publication constitutes the completely refereed postproceedings of the foreign convention on Non-Linear Speech Processing, NOLISP 2007, held in Paris, France, in might 2007.

The 24 revised complete papers offered have been rigorously reviewed and chosen from quite a few submissions for inclusion within the booklet. The papers are geared up in topical sections on nonlinear and nonconventional suggestions, speech synthesis, speaker popularity, speech popularity, speech research, and exploitation of non-linear techniques.

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Read or Download Advances in Nonlinear Speech Processing: International Conference on Non-Linear Speech Processing, NOLISP 2007 Paris, France, May 22-25, 2007 Revised Selected Papers PDF

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Additional info for Advances in Nonlinear Speech Processing: International Conference on Non-Linear Speech Processing, NOLISP 2007 Paris, France, May 22-25, 2007 Revised Selected Papers

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Extract . 100 most Energetic . 64 + 100 1 1 1 Mean . . LDA . 100 40 1 Upsampling with Linear . . 1 . . . 40 LDA . . - . 40 40 40 15 Frames 600 "DCT" E[ . ] 1 ... 200 1 . . 4096 . Feature Normalization . 1 1 t 1 1 "DCT2" Rate = 100Hz Interpolation 200 Video Signal Rate = 25Hz "PRO" 1 t X-Profile 115 110 105 0 20 40 60 80 100 120 140 160 180 1 . 200 . 150 140 130 Y-Profile 120 110 100 . 90 80 0 20 40 60 80 100 120 140 160 180 200 400 Feature Mean + Normalization 1 1 1 . . . 400 LDA .

Feature Normalization . 1 1 t 1 1 "DCT2" Rate = 100Hz Interpolation 200 Video Signal Rate = 25Hz "PRO" 1 t X-Profile 115 110 105 0 20 40 60 80 100 120 140 160 180 1 . 200 . 150 140 130 Y-Profile 120 110 100 . 90 80 0 20 40 60 80 100 120 140 160 180 200 400 Feature Mean + Normalization 1 1 1 . . . 400 LDA . 40 1 . . - 40 "PRO2" 1 . 130 125 120 . . 40 . 1 . . 40 15 Frames . LDA . 40 600 E[ . ] Fig. 9. Visual features extraction process linear interpolation of the visual features to the audio frame rate is applied.

C Springer-Verlag Berlin Heidelberg 2007 Some Experiments in Audio-Visual Speech Processing 29 – Speaker indexing : Who is talking in a video sequence ? – OUISPER : a silent speech interface : Corpus based synthesis from tongue and lips movements This chapter reviews some of the signal processing techniques which have been developped and experimented for these applications. It is organised as follows : features extraction techniques, for face and speech are first analysed, followed by an overview of modelling and classification techniques.

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