speech recognition system-11

speech recognition system-11


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Speaker-Independent Natural Arabic Speech Recognition System
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ABSTRACT This paper reports the results of the first phase of a research work for building a high performance, speaker-independent natural Arabic speech recognition system. This work aims at developing an Arabic broadcast news transcription system and a base

Inteligent speech synthesis as part of an integrated speech synthesis/automatic speech recognition system
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In current linguistic theory speech production from concept in the human being is modelled as a series of procedures successively drawing on knowledge bases to create an appropriate sound output. Transformational Generative Grammar and its derivatives, for

Continuous speech recognition system based on statistical modeling
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ABSTRACT In this paper we will present our work concerning continuous speech recognition for Romanian language realized by statistical modeling. The recognition system is based on hidden Markov models (HMM) as left-right structures, built for phonemes. Dictionary and

Speech recognition system based on phonemes using neural networks
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ABSTRACT Speech recognition is important for successful development of speech recognizers in most real world applications. While speaker dependent speech recognizers have achieved close to 100% accuracy, the speaker independent speech recognition systems

A prosodic/syntactic model for integrating prosody in a continuous speech recognition system
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ABSTRACT This paper presents a statistical model, which associates syntactic rules with prosodic cues in order to help a continuous speech recognition system produce sentence hypotheses. The system consists of the sequential coupling of a standard speech

Hindi Speech Recognition System Using Htk
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ABSTRACT Speech recognition is the process of converting an acoustic waveform into the text similar to the information being conveyed by the speaker. In the present era, mainly Hidden Markov Model (HMMs) based speech recognizers are used. This paper aims to build a

Creating a Mexican Spanish version of the CMU Sphinx-III speech recognition system
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In this paper we present the creation of a Mexican Spanish version of the CMU Sphinx-III speech recognition system. We trained acoustic and N-gram language models with a phonetic set of 23 phonemes. Our speech data for training and testing was collected from

Facial expression recognition for speaker using thermal image processing and speech recognition system
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ABSTRACT I investigated a method for facial expression recognition for a human speaker by using thermal image processing and a speech recognition system. In this study, we improved our speech recognition system to save thermal images at the three timing

Implementing a speech recognition system interface for indian languages
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ABSTRACT Human computer interaction through Natural Language Conversational Interfaces plays a very important role in improving the usage of computers for the common man. It is the need of time to bring human computer interaction as close to human-human

Multi-lingual speech recognition system for speech-to-speech translation
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ABSTRACT This paper describes the speech recognition module of the speech-to-speech translation system being currently developed at ATR. It is a multi-lingual large vocabulary continuous speech recognition system supporting Japanese, English and Chinese

Assistive multimodal system based on speech recognition and head tracking
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ABSTRACT In this paper the assistive multimodal system is presented, which is aimed for the disabled people, which need other kinds of interfaces than ordinary people. The group of users of this system is persons with hands disabilities. The interaction between a user and

Hierarchical multi-stream posterior based speech recognition system
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In this paper, we present initial results towards boosting posterior based speech recognition systems by estimating more informative posteriors using multiple streams of features and taking into account acoustic context (eg, as available in the whole utterance), as well as

Language modeling in the ICSI-SRI Spring 2005 meeting speech recognition evaluationsystem
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ABSTRACT In this report, we describe the language models (LMs) used in the ICSI-SRI system for the NIST Spring 2005 Meeting Rich Transcription (RT-05S) evaluation. Our LMs are linear interpolations of n-gram models trained on a small number of in-domain sources

A fast prototyping system for speech recognition based on a visual object oriented environment
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ABSTRACT In this paper we propose an engineering approach for fast prototyping of a HMM- based speech recognizer. The presented system has been specifically used for words and sentences recognition of a regional variety of Italian. Experimental results have been

Speech recognition system robustness to microphone variations
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ABSTRACT This thesis seeks to improve our understanding of the e ects of microphone variations and compensation techniques on a speech recognition system, focusing on mismatched conditions when the testing microphone is of lower quality than the training

A speech and handwritting recognition system
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ABSTRACT Speech technologies have developed in the last twenty years and now allow the implementation of real-world speech applications. Furthermore, handwriting recognition has gained attention in the last years due to their multiple applications and the opportunity

Implementation of a large vocabulary continuous speech recognition system for Brazilian Portuguese
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ABSTRACT.–This work presents the implementation of a large vocabulary speech recognition system for Brazilian Portuguese. The implemented system uses tools available on HTK and ATK toolkits. Tests were conducted in order to check the correlation on the context of

Building language models for Tamil speech recognition system
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An essential element of any speech recognition system is the language model. A language model attempts to identify and make use of the regularities in natural language to better define language syntax for easier recognition. One major obstacle in speech recognition

A new speech recognition baseline system for numbers 95 version 1.3 based on torch
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ABSTRACT. This report describes a complete baseline system for the last version (1.3) of the Numbers95 database for speech recognition. The goal of this report is to provide a speech recognition system for all researchers at IDIAP which performance corresponds to the

Complementarity of speech recognition systems and system combination
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ABSTRACT In the past, many speech recognition systems differing in feature extraction method, classification method, training algorithm, etc. have been developed. A powerful technique to obtain better recognition results is combination of such systems at different levels (feature-

Toward Bell System applications of automatic speech recognition
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Advances over the past few years in the ?eld of Automatic Speech Recognition (ASR) have brought more attention to potential Bell System applications of this technology. Before reaching the point of ASR implementation, several human factors problems have to be

Various robust search methods in a Hungarian speech recognition system
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ABSTRACT This work focuses on the search aspect of speech recognition. We describe some standard algorithms such as stack decoding, multi-stack decoding, the Viterbi beam search and an A* heuristic, then present improvements on these search methods. Finally we

Audio-visual speech recognition with a hybrid SVM-HMM system
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ABSTRACT Traditional speech recognition systems use Gaussian mixture models to obtain the likelihoods of individual phonemes, which are then used as state emission probabilities in hidden Markov models representing the words. In hybrid systems, the Gaussian

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