speech recognition system-15


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The process of Feature Extraction in Automatic Speech Recognition System for Computer Machine Interaction with Humans: A Review
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B Singh, R Kaur, N Devgun ,International Journal, 2012 ,ijarcsse.com
Abstract-Automatic speech recognition (ASR) is an interesting field and lot of research work
has been done by many research followers in the area of ASR and research in digital signal
processing now computer hardware is able to communicate with humans in human 

Robust Voice Activity Detection Based on the Static and Dynamic Energy for the Embedded Automatic Speech Recognition System
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Z Han ,nguyendangbinh.org
Abstract-In this paper we propose an effective, robust and computationally low-cost voice
activity detector based on static and dynamic energy (SDEVAD) for the embedded automatic
speech recognition. SDEVAD adopts dynamic energy derived from the optimal filters of 

A Speech Recognition System for Embedded Applications Using the SOM and TS-SOM Networks
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  intechopen.com
The self-organizing map (SOM)(Kohonen, 1982) is one of the most important neural network
architecture. Since its invention it has been applied to so many areas of Science and
Engineering that it is virtually impossible to list all the applications available to date ( 

Parts of Speech Recognition System for the Text-Based Polish Speech Synthesizer
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B Piórkowska, J Rafalko ,eurasip.org
Abstract The article presents two ways of automatic recognition what part of speech a given
word is. It is crucial to determine which words belong to subject and which to predicate. This
information will greatly enhance proper sentence intonation because, as observations 

THE APPLICATION OF NEURAL NETWORK PARADIGMS IN SPEECH RECOGNITION FOR A ROMANIAN VOICE DIALING SYSTEM
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D BURILEANU, M SIMA, C BURILEANU ,ece.uvic.ca
The development of robust, speaker independent, speech recognition systems that perform
well over dialed-up telephone lines has been a topic of interest for over a decade. This work
has progressed from systems that can recognise a small number of vocabulary items 

A Visual Speech Recognition System for an Ultrasound-based Silent Speech Interface
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J Cai, T Hueber, B Denby, EL Benaroya ,gipsa-lab.inpg.fr
ABSTRACT The development of a continuous visual speech recognizer for a silent speech
interface has been investigated using a visual speech corpus of ultrasound and video
images of the tongue and lips. By using high-speed visual data and tied-state cross-word 

AUTOMATIC SPEECH RECOGNITION SYSTEM FOR UNDER-RESOURCED LANGUAGES BASED ON SPEERAL: APPLICATION TO BERBER LANGUAGE
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Z Benkhellat, E Ferreira, P Nocera ,mica.edu.vn
ABSTRACT The ability to collect and process a large amount of resources (vocabularies,
text corpora, transcribed speech corpora, phonetic dictionaries) constitutes a critical
prerequisite of systems based on statistical methods. This problem becomes crucial for 

A Fuzzy Logic based Speech Recognition system
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TR Niranjan ,sites.google.com
Abstract Speech recognition, in its most general form, is a problem of converting an acoustic
(audio) signal to a written equivalent of message information. Most of current approaches to
this problem involve extraction of mathematically precise characteristic features from the 

Development of an Indonesian Large Vocabulary Continuous Speech Recognition System
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DP Lestari, K Iwano ,Meeting. Acoustical Society of , 2006 ,furui.cs.titech.ac.jp
This paper presents our work in building an Indonesian LVCSR system. Most speech-
related researchers in Indonesia focus on speech synthesizer technologies, natural
language processing, and small vocabulary speech recognition systems [1]. The lack of 

BOOTSTRAPPING A SPEECH RECOGNITION SYSTEM BY USING SLIDING VIDEO TEXTRECOGNITION
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T Som ,2009 ,busim.ee.boun.edu.tr
In the broadcast news for the hearing impaired, the information is conveyed by three
modalities: speech, sign language and sliding video text. In this work, we propose an HMM-
based sliding video text recognition (SVTR) system to generate automatic transcriptions of 

Vowel place detection for a knowledge-based speech recognition system
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S Lee ,Signal, 2008 ,webistem.com
This work aims to detect vowel place as part of a knowledge-based speech recognition
system. Vowel place was classified into 6 groups based on tongue advancement
[Front/Back] and height [High/Mid/Low]. Experiments were performed using 660/hVd/ 

Development of a Mandarin-English Bilingual Speech Recognition System with Unified Acoustic Models
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QQ Zhang, JL Pan ,Journal of Information Science and , 2010 ,iis.sinica.edu.tw
Mandarin-English bilingual Speech Recognition System (MESRS) for real-world music
retrieval. Two of the main difficult issues in handling the bilingual speech recognition for
realworld applications are tackled: One is to balance the performance and the complexity 

A FIRST SPEECH RECOGNITION SYSTEM FOR MANDARIN-ENGLISH CODE-SWITCH CONVERSATIONAL SPEECH
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  T Schultz  speech.ee.ntu.edu.tw
ABSTRACT This paper presents first steps toward a large vocabulary continuous speech
recognition system (LVCSR) for conversational Mandarin-English code-switching (CS)
speech. We applied state-of-the-art techniques such as speaker adaptive and 

Multiple Pronunciation Model for Amharic Speech Recognition System
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S Gizaw ,Spoken Languages Technologies for Under- , 2008 ,isca-speech.org
In this paper the research have tried to show the pattern variations of sound units in Amharic
language for multiple pronunciation model. This are variation of sound units at lexical level
due to dialects. After that an attempt to build a pronunciation dictionary for Automatic 

Development of a Speech Recognition System Using Machine Translated Data
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AT Jensson, K Iwano ,furui.cs.titech.ac.jp
Statistical language modeling is well known to be very important in large vocabulary speech
recognition but creating a robust language model (LM) typically requires a large amount of
training text. Therefore it is difficult to create a statistical LM for resource deficient 

Context-Dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition System
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DKTRM Hochberg ,ftp-svr.eng.cam.ac.uk
Abstract A method for incorporating context-dependent phone classes in a connectionist-
HMM hybrid speech recognition system is introduced. A modular approach is adopted,
where single-layer networks discriminate between different context classes given the 

Development of a Speech Recognition System for Speaker Independent Isolated Malayalam Words
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S Sunny ,ijcset.com
Abstract—In this paper, a speech recognition system is developed for recognizing speaker-
independent, isolated words. Speech recognition is a fascinating application of Digital
Signal Processing and is a pattern classification task wherein an input pattern is classified 


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