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Articulatory distinctiveness of vowels and consonants: A data-driven approach
Purpose To quantify the articulatory distinctiveness of 8 major English vowels and 11
English consonants based on tongue and lip movement time series data using a data-driven …
English consonants based on tongue and lip movement time series data using a data-driven …
Adjusted pixel features for robust facial component classification
Within the last decade increasing computing power and the scientific advancement of
algorithms allowed the analysis of various aspects of human faces such as facial expression …
algorithms allowed the analysis of various aspects of human faces such as facial expression …
Computational intelligence in multimedia processing: Foundation and trends
This chapter presents a broad overview of Computational Intelligence (CI) techniques
including Neural Network (NN), Particle Swarm Optimization (PSO), Evolutionary Algorithm …
including Neural Network (NN), Particle Swarm Optimization (PSO), Evolutionary Algorithm …
Vowel recognition from articulatory position time-series data
A new approach of recognizing vowels from articulatory position time-series data was
proposed and tested in this paper. This approach directly mapped articulatory position time …
proposed and tested in this paper. This approach directly mapped articulatory position time …
Computational intelligence in speech and audio processing: recent advances
Computational intelligence techniques have been used for the processing of speech and
audio for several years. Some of the applications in speech processing where computational …
audio for several years. Some of the applications in speech processing where computational …
Robust and fast vowel recognition using optimum-path forest
The applications of Automatic Vowel Recognition (AVR), which is a sub-part of fundamental
importance in most of the speech processing systems, vary from automatic interpretation of …
importance in most of the speech processing systems, vary from automatic interpretation of …
[کتاب][B] Silent speech recognition from articulatory motion
J Wang - 2011 - search.proquest.com
Silent speech recognition is the process of converting motion data of articulators (eg, tongue,
lips, and jaw) into speech in the form of text. The primary objective of this dissertation was to …
lips, and jaw) into speech in the form of text. The primary objective of this dissertation was to …
Automatic visual speech segmentation
H Talea, K Yaghmaie - 2011 IEEE 3rd International Conference …, 2011 - ieeexplore.ieee.org
Speech recognition techniques which rely on audio features of speech degrade in
performance in noisy environments. Visual Speech Recognition helps this by incorporating …
performance in noisy environments. Visual Speech Recognition helps this by incorporating …
An Efficient Model for Lip-reading in Persian Language Based on Visual Word and Fast Furrier Transform Combined with Neural Network
Automatic lip-reading plays an important role in human computer interaction in noisy
environments where audio speech recognition may be difficult. However, similar to speech …
environments where audio speech recognition may be difficult. However, similar to speech …
Facial Expression Recognition With A Three-Dimensional Face Model
C Mayer - 2012 - mediatum.ub.tum.de
This thesis covers facial expression recognition from camera images to improve human-
machine communication. A three-dimensional face model, which is fitted to the image, is …
machine communication. A three-dimensional face model, which is fitted to the image, is …