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PARAMETRIC REPRESENTATION OF THE SPEAKER’S LIPS FOR MULTIMODAL SIGN LANGUAGE AND SPEECH RECOGNITION
Sign language Gestures Speech recognition Computer Vision Principal Component Analysis Machine learning Face detection Linear contrasting
2017/6/19
In this article, we propose a new method for parametric representation of human’s lips region. The functional diagram of the method is described and implementation details with the explanation of its ...
A Speech Act Calculus. A Pragmatised Natural Deduction Calculus and its Meta-theory
Speech Act Calculus Natural Deduction Logic Pragmatisation
2015/7/21
Building on the work of Peter Hinst and Geo Siegwart, we develop a pragmatised natural deduction calculus, i.e. a natural deduction calculus that incorporates illocutionary operators at the formal lev...
Measuring Polarization in High-dimensional Data: Method and Application to Congressional Speech
Method and Applicatio Congressional Speech
2015/7/17
Standard measures of segregation or polarization are inappropriate for high-dimensional
data such as Internet browsing histories, item-level purchase data, or text. We develop a
model-based measure ...
Two families with quadrupedalism, mental retardation, no speech, and infantile hypotonia (Uner Tan Syndrome Type-II); a novel theory for the evolutionary emergence of human bipedalism
Uner Tan syndrome ataxia quadrupedalism evolution complex systems self-organization
2015/6/10
Two consanguineous families with Uner Tan Syndrome (UTS) were analyzed in relation to self-organizing processes in complex systems, and the evolutionary emergence of human bipedalism. The cases had th...
UBIQUITOUS GIS, DATA ACQUISITION AND SPEECH RECOGNITION
GIS DATA ACQUISITION SPEECH RECOGNITION
2015/3/16
UBIQUITOUS GIS, DATA ACQUISITION AND SPEECH RECOGNITION.
Speech Feature Denoising and Dereverberation via Deep Autoencoders for Noisy Reverberant Speech Recognition
robust speech recognition feature denoising denoising autoencoder deep neural network
2014/11/27
Denoising autoencoders (DAs) have shown success in generating robust features for images, but there has been limited work in applying DAs for speech. In this paper we present a deep denoising autoenco...
Probabilistic Dialogue Modeling for Speech-Enabled Assistive Technology
spoken dialogue systems speech interfaces POMDPs
2014/11/27
People with motor disabilities often face substantial challenges using interfaces designed for manual interaction. Although such obstacles might be partially alleviated by automatic speech recognition...
Multi-level Context-dependent Acoustic Modeling for Automatic Speech Recognition
Multi-level Context-dependent Acoustic Modeling Automatic Speech Recognition
2014/11/27
In this paper, we propose a multi-level, contextdependent acoustic modeling framework for automatic speech recognition. For each context-dependent unit considered by the recognizer, we construct a set...
An Efferent-Inspired Auditory Model Front-End for Speech Recognition
efferent auditory model feature extraction
2014/11/27
In this paper, we investigate a closed-loop auditory model and explore its potential as a feature representation for speech recognition. The closed-loop representation consists of an auditory-based, e...
A Back-off Discriminative Acoustic Model for Automatic Speech Recognition
context-dependent acoustic modeling back-off acoustic models discriminative training
2014/11/27
In this paper we propose a back-off discriminative acoustic model for Automatic Speech Recognition (ASR). We use a set of broad phonetic classes to divide the classification problem originating from c...
Research Developments and Directions in Speech Recognition and Understanding, Part 1
Research Developments Speech Recognition Understanding
2014/11/27
To advance research, it isimportant to identify prom-ising future research direc-tions, especially those thathave not been adequately pursued or funded in the past. The working group producing this ar...
Unsupervised Pattern Discovery in Speech
Speech processing unsupervised pattern discovery word acquisition
2014/11/27
We present a novel approach to speech processing based on the principle of pattern discovery. Our work represents a departure from traditional models of speech recognition, where the end goal is to cl...
SPEECH RECOGNITION WITH LOCALIZED TIME-FR EQUENCY PATTERN DETECTORS
automatic speech recognition acoustic modeling
2014/11/27
SPEECH RECOGNITION WITH LOCALIZED TIME-FR EQUENCY PATTERN DETECTORS.
UNSUPERVISED WORD ACQUISITION F ROM SPEECH USING PATTERN DISCOVERY
UNSUPERVISED WORD ACQUISITION SPEECH USING PATTERN
2014/11/27
In this paper, we present an unsupervised method for automatically discovering words from speech using a combination of acoustic pattern discovery, graph clustering, and baseform searching. The algori...
Online Non-Negative Convolutive Pattern Learning for Speech Signals
Non-negative matrix factorization convolutive NMF online pattern learning sparse coding speech processing speech recognition
2013/6/28
The unsupervised learning of spectro-temporal patterns within speech signals is of interest in a broad range of applications. Where patterns are non-negative and convolutive in nature, relevant learni...