speech recognition system-21
Detection of baby voice and its application using speech recognition system and fundamental frequency analysis
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S Yamamoto, Y Yoshitomi, M Tabuse ,Proceedings of the 10th , 2010 ,wseas.us
Abstract:-We propose a method for detecting a baby voice using a speech recognition
system and fundamental frequency analysis. We propose the following two conditions for
recognizing a sound form segment of a baby voice. Condition 1: The word reliability for a
The Use of Speech Recognition System as a Writing Tool with Individuals with Mental Retardation: An Exploratory Study
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M Jones ,Work with the population you love. Opportunities in ,txsha.orgwww.txsha.org
ABSTRACT The present study was designed as an exploratory investigation of the use of
speech recognition systems with individuals with mental retardation. An alternating-
treatments design was used to compare the use of a speech recognition system to the
An EFL CALL Teaching Aid for Self-directed Learning Using the AmiVoice® Speech Recognition System: Automatic Scoring of the Fluency of Learners’
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Y ISHIKAWA, M KONDO, C SMITH ,iiis.org
ABSTRACT At Kyoto Junior College of Foreign Languages on the premises of Kyoto
University of Foreign Studies, Hospitality English, a new first-year English as a Foreign
Language course was introduced in April 2008. Hospitality English, a one semester, one-
A biological speech recognition system by using associative neural networks
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D Shahgoshtasbi, S Agaian , Congress (WAC), 2010, 2010 ,ace.utsa.edu
ABSTRACT Speech recognition has been one of the most challenging subjects in the field of
signal processing for years. The recognition of the speech becomes more difficult when
there is a noise in the place. Most of the time human beings are able to ignore the
Development of a DTW based Speech Recognition System over the telephone line
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F Formaz, MS Goyal ,2001 ,idiap.ch
A voice dialing system has been implemented using speaker dependent speech recognition
based on phone-like units as models. Also this system incorporates garbage spotting and
keyword spotting abilities. This document gives a brief explanation of the theory behind
A SPEECH RECOGNITION SYSTEM FOR PEIS ECOLOGIES
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J Ullberg ,oru.se
Abstract This report summarizes the assignment and solution to the task of developing a
speech recognition infrastructure for an intelligent home environment running the PEIS
ecology middleware. Such a system is useful since it allows humans to interact with the
Automated Speech Recognition System (ASR)
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M Belgacem, G Antoniadis ,world-comp.org
Abstract-This paper reports the results of the first phase of a research work for building a
high performance, speakerindependent natural Arabic speech recognition system. This work
aims at developing an Arabic broadcast news transcription system and a base system for
A Multi-Stage Methodology To Setup An ANN/HMM Audio-Visual Speech Recognition System
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F Berthommier, V Charbonneau ,arcor.de
Abstract: We present a method to label an audio-visual database and to setup a system for
audio-visual speech recognition based on a hybrid Artificial Neural Network/Hidden Markov
Model (ANN/HMM) approach. Furthermore we introduce a new audio-visual fusion
DEVELOPMENT OF LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION SYSTEMFOR MONGOLIAN LANGUAGE
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S Nakagawa, E Turmunkh, H Kibishi, K Ohta ,mica.edu.vn
ABSTRACT We developed a large vocabulary continuous speech recognition system
(LVCSR) for Mongolian language. It is the first LVCSR system of Khalkha dialect in
Mongolia. Firstly, we created Mongolian speech corpus for acoustic model and it contains
A Study of Likelihood Ratio Calibration in High Vocal Effort Speech for a Modern Automatic Speaker Recognition System
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iafpa2012.com
The production of speech is not only influenced by various intrinsic factors such as
semantics, dialect, human perspective and emotion, but also by extrinsic factors such as
environmental conditions and transmission channel. In certain acoustic conditions, the
A SYSTEM OF PLANS FOR CONNECTED SPEECH RECOGNITION
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RDEMOYF MONG ,aaai.org
1. Motlv~ tla~ r and RelatIona with Pllerlour Work8 A number of researches on Automatic
Speech Recognition(ASR) have been carried out using a recognition model based on
feature extraction and classification. With such an approach, the same set of features are
Optimizing Some HMM Model Parameters in an Isolated Speech Recognition System
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M Frikha, S Ben Massaoud ,IEEE , 2005 ,makammoun.mypressonline.com
Abstract Hidden Markov models (HMMs) are stochastic models. They have been applied
with great success in the field of speech recognition during the last three decades. It has
been shown that the performance of a recognizer based on HMM modeling may be
Morpheme Based Language Model for Tamil Speech Recognition System
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S Saraswathi ,2005 ,ccis2k.org
Abstract: This paper describes the design of a morpheme based language model for Tamil
language. It aims to alleviate the main problems encountered in processing the Tamil
language, like enormous vocabulary growth caused by large number of different forms
Influence of the perceptual speech quality on the performance of the text-independent speakerrecognition system
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R Blatnik, G Kandus ,naun.org
Abstract—In the following paper we examine the influence of the perceptual speech quality
on the performance of the text-independent automated speaker recognition system (ASRS).
The perceptual speech quality was objectively measured using Perceptual Evaluation of
On applying phonological rules for a. Korean continuous speech recognition system c
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J CHOI ,slp.cs.tut.ac.jp
Abstract We have been developing Korean continuous speech r agnition system for the task
of ?ight reservation L ween Korea ‘and Japan based on the Japanese continuous speech
understanding system SPOJUS-SYNO. It adopts a frame-synchronous One-Pass Viterbi
Application of homomorphic methods of speech signal processing in speakers recognition system
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AP DOBROWOLSKI ,pe.org.pl
Abstract. The paper presents the problem of automatic speaker recognition system.
Automatic recognition of speaker is a process designed to determine, whether a particular
statement belongs to the speaker. The speech signal is a carrier of both physiological and
Incorporation of syntax to improve performance of an Automatic Speech Recognition Systemwithin a limited domain.
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M Rapholo, HJ Oosthuizen ,satnac.org.za
Abstract–In this paper we present an approach to incorporation of syntactic postprocessing
of the results of an existing Northern Sotho automatic speech recognizer (ASR) based on
hidden Markov models (HMMs) to improve its performance. We limit our recognition
On the integration of dialect and speaker adaptation in a multi-dialect speech recognition system
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V Digalakis, V Doumpiotis ,Eusipco: European signal , 1998 ,eurasip.org
ABSTRACT The recognition accuracy in recent Automatic Speech Recognition (ASR)
systems has proven to be highly related to the correlation of the training and testing
conditions. Several adaptation approaches have been proposed in an e ort to improve the
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