speech recognition system-22

speech recognition system-22


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An Embedded System Design for Speech Command Recognition using Improved AMDF-based Pitch Features
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SC Lin, JF Wang, JC Wang ,nguyendangbinh.org ABSTRACT This paper presents an embedded system design for speech command recognition using improved AMDF (Average Magnitude Difference Function)-based pitch features. Compared with the autocorrelation method, AMDF has the advantage of low computation

WORD ERROR RATE REDUCTION BY BOTTOM-UP TONE INTEGRATION TO CHINESE CONTINUOUS SPEECH RECOGNITION SYSTEM
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Y Jia, Y Yan, B Yuan ,isca-speech.org ABSTRACT In this paper, a bottom-up integration structure to model tone influence at various levels is proposed. At acoustic level, pitch is extracted as a continuous acoustic variable. At phonetic level, we treat the main vowel with different tones as different

A large vocabulary continuous speech recognition system for Persian language
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ABSTRACT The first large vocabulary speech recognition system for the Persian language is introduced in this paper. This continuous speech recognition system uses most standard and state-of-the-art speech and language modeling techniques. The development of the

Speech Emotion Recognition System Using SVM AND LIBSVM
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ABSTRACT This paper introduces a approach to emotion recognition from speech signal using SVM as a classifier. Speech Emotion Recognition (SER) is a current research area in the field of Human Computer Interaction (HCI) with wide range of applications. The

Expert System for Continuous Speech Recognition
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ABSTRACTmln designing a speech recognition expert system, there are a number of aspects to be considered:segmentation method, recognition unit, structure of the rule, and user aids. To avoid the difficulties in segmentation, an irregular unit based on spectral transition

Speech Recognition System; Challenges and Techniques
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ABSTRACT Pattern matching is an emerging subject for doing identification of various objects including speech and its parts. Initially these pattern matching techniques has been limited to identifying the speech patterns of the words that are separated with enough silence. It is

Interpretation and Estimating the Parameters of Transition Probabilities in Speech Recognition System
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R Kumar, H Parthasarthy ,csjournals.com ABSTRACT In this paper an attempt is made to describe the various basic aspects of speech recognition system using the pattern recognition approach. Also here a new Autoregressive Hidden Markov Model (HMM) used for the speech recognition system has been

Speech Recognition system for mobile devices
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ABSTRACT In this thesis, an Automatic Speech Recognition system for large vocabulary (more than 10000 words) tasks is presented. This system is intended to run on resource- constrained mobile devices such as PDAs and is based on Audimus, a hybrid Hidden

A Data-Driven SoC System for Embedded Continuous Speech Recognition
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R Hoare, K Gupta - System - llwww.ll.mit.edu ABSTRACT In this paper we present a SoC system able to perform Small-Vocabulary Automatic Speech Recognition (SVASR) based on Hidden-Markov Model (HMM) recognition techniques. Through in-depth analysis of the data-flow within the SPHINX 3 software ,

T-61.195 Informaatiotekniikka koulutusohjelma 23.5. 2007 ONLINE DEMONSTRATOR FOR THE CONTINUOUS SPEECH RECOGNITION SYSTEM
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Although the technology has advanced enormously during the last decades, there still remains some tasks beyond the capabilities of computers. Many pattern recognition tasks that are easy for humans appear to be extremely complex problems to solve

Recognising cursive Arabic text using a speech recognition system
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ABSTRACT This paper presents a system to recognise cursive Arabic typewritten text. The system is built using the Hidden Markov Model Toolkit (HTK) which is a portable toolkit for speech recognition system. The proposed system decomposes the page into its text lines

Reviewing Human-Machine Interaction through Speech Recognition approaches and Analyzing an approach for Designing an Efficient System
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ABSTRACT Speech is most natural way of interaction for human. It has broad applications in the human-machine and humancomputer interaction. This paper reviews the literature and the technological aspects of human-machine interaction through various speech

Adaptive bands filter bank optimized by genetic algorithm for robust speech recognition system
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ABSTRACT Perceptual auditory filter banks such as Bark-scale filter bank are widely used as front-end processing in speech recognition systems. However, the problem of the design of optimized filter banks that provide higher accuracy in recognition tasks is still open. Owing

Using Gaussian Mixtures for Hindi Speech Recognition System
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RK Aggarwal ,sersc.org ABSTRACT The goal of automatic speech recognition (ASR) system is to accurately and efficiently convert a speech signal into a text message independent of the device, speaker or the environment. In general the speech signal is captured and pre-processed at front-end

Improving Continuous Speech Recognition System Performance with Grapheme Modelling
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ABSTRACT. This paper investigates automatic speech recognition system using context- dependent graphemes as subword units based on the conventional HMM/GMM system as well as TANDEM system. Experimental studies conducted on two different continuous

AUTOMATIC SPEECH RECOGNITION SYSTEM CONCERNING THE MOROCCAN DIALECTE (Darija and Tamazight)
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ABSTRACT. In this work we present an automatic speech recognition system for Moroccan dialect mainly: Darija (Arab dialect) and Tamazight. Many approaches have been used to model the Arabic and Tamazight phonetic units. In this paper, we propose to use the

Japanese Transitive and Intransitive Verbs: e-Learning System with Speech Recognition and Video
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H Okumoto, S Fujita, A Swan, T Hosaka, Y Ming ,editlib.org ABSTRACT Learning a foreign language requires diverse knowledge and skills, including reading and writing, conversation skills, and grammar. So we developed a Web-based Japanese learning system with speech recognition capability in order to provide

HMM-BASED LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION SYSTEM FOR AZERBAIJANI
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A Abbasov, R Fatullayev ,pci2010.science.az ABSTRACT. This article describes the main stages of the development and characteristics of a speech recognition system for the Azerbaijani language developed within the project Dilmanc. Some numerical data on the amount of information to create the database for

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