speech recognition system-12

speech recognition system-12




The L2F Broadcast News Speech Recognition System
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ABSTRACT Broadcast news play an important role in our lives providing access to news, information and entertainment. The existence of an automatic transcription is an important medium that not only can provide subtitles for inclusion of people with special needs or be

Talking back to big bird: Preschool users and a simple speech recognition system
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ABSTRACT The present study examined the effectiveness of one configuration of automatic speech recognition (ASR) software and hardware with a child sample of 36 three-year-olds and a comparison sample of 20 adults. Subjects used a speaker-dependent, template-

A large vocabulary continuous speech recognition system for indonesian language
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DP Lestari, K Iwano ,Proc. 15th Indonesian Scientific , 1881 ,furui.cs.titech.ac.jp ABSTRACT. This paper presents our work to build a pioneering Indonesian Large Vocabulary Continuous Speech Recognition (LVCSR) System. In order to build an LVCSR system, high accurate acoustic models and large-scale language models are essential. Since

A Large Vocabulary Real Time Continuous Speech Recognition System
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ABSTRACT This paper describes an approach to implementing speech recognition systems with very high throughput rates by using custom designed datapaths for time-critical computations. Using this approach, we are currently designing and debugging a real-time

Strategies for developing a real-time continuous speech recognition system for czech language
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This paper presents a set of strategies that enabled the development of a real-time continuous speech recognition system for Czech language. The optimization strategies include efficient computation of HMM probability densities, pruning schemes applied to

A robust speech recognition system for service-robotics applications
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Mobile service robots in human environments need to have versatile abilities to perceive and to interact with their environment. Spoken language is a natural way to interact with a robot, in general, and to instruct it, in particular. However, most existing speech

A configurable distributed speech recognition system
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The growth in wireless communication and mobile devices has supported the development of distributed speech recognition (DSR) technology. During the last decade this has led to the establishment of ETSI-DSR standards and an increased interest in research aimed at

Continuous speech recognition in the WAXHOLM dialogue system
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ABSTRACT This paper presents the status of the continuous speech recognition engine of the WAXHOLM project. The engine is a software only system written in portable C code. The design is flexible and different modes for phonetic pattern matching are available. In

Implementing a hidden Markov model speech recognition system in programmable logic
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Performing Viterbi decoding for continuous real-time speech recognition is a highly computationally-demanding task, but is one which can take good advantage of a parallel processing architecture. To this end, we describe a system which uses an FPGA for the

Development of a recurrent time-delay neural net speech recognition system
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ABSTRACT State models, often used to model the dynamics of speech in recognition systems today, may not be flexible enough to model all important dynamic aspects of the speech. The present paper investigates an artificial neural network approach to the problem. An

Acoustic modeling in the Philips Hub-4 continuous-speech recognition system
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ABSTRACT In this paper we describe some characteristics of the acoustic modeling used in the Philips continuous-speech recognition system for the DARPA Hub-4 1997 evaluation, which are related to robustness issues. We aimed at a conceptually simple system: We

The dragon continuous speech recognition system: a real-time implementation
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ABSTRACT We present a 1000-word continuous speech recognition (CSR) system that operates in real time on a personal computer (PC). The system, designed for large vocabulary natural language tasks, makes use of phonetic Hidden Markov models (HMM)

Predicting and adapting to poor speech recognition in a spoken dialogue system
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ABSTRACT Spoken dialogue system performance can vary widely for different users, as well for the same user during different dialogues. This paper presents the design and evaluation of an adaptive version of TOOT, a spoken dialogue system for retrieving online train

Training set issues in SRI s DECIPHER speech recognition system
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ABSTRACT SRI has developed the DECIPHER system, a hidden Markov model (HMM) based continuous speech recognition system typically used in a speaker-independent manner. Initially we review the DECIPHER system, then we show that DECIPHER s

Building medium-vocabulary isolated-word Lithuanian HMM speech recognition system
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In this paper, the opening work on the development of a Lithuanian HMM speech recognition system is described. The triphone single-Gaussian HMM speech recognition system based on Mel Frequency Cepstral Coefficients (MFCC) was developed using HTK

Comparison of Speech Recognition with Different Speech Coding Strategies (SPEAK, CIS, and ACE) and Their Relationship to Telemetrie Measures of
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ABSTRACT Speech understanding and subjective preference for three different speech coding stratgies (spectral peak coding [SPEAK], continuous interleaved sampling [CIS], and advanced combination encoders [ACEj) were investigated in 11 post-lingually deal'adult

Further progress in meeting recognition: The ICSI-SRI Spring 2005 speech-to-text evaluationsystem
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We describe the development of our speech recognition system for the National Institute of Standards and Technology (NIST) Spring 2005 Meeting Rich Transcription (RT-05S) evaluation, highlighting improvements made since last year . The system is based on

SPEECH RECOGNITION SYSTEM
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S BANSAL ,cseweb.ucsd.edu ABSTRACT Speech recognition applications are becoming more and more useful nowadays. Various interactive speech aware applications are available in the market. But they are usually meant for and executed on the traditional general-purpose computers.

Speech Recognition System
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ABSTRACT The paper describes new automatic service intended for using telephone directory inquiries without human operator. The developed automatic speech recognition system for Russian language solves for processing the voice input and answering the queries of

Audimus. media: a broadcast news speech recognition system for the european portuguese language
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Many applications such as media monitoring are experiencing a large expansion as a consequence of the different emerging media sources and can benefit dramatically by using automatic transcription of audio data. In this paper, we describe the development of a

Speaker-adaptation for hybrid HMM-ANN continuous speech recognition system
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It is well known that recognition performance degrades significantly when moving from a speaker-dependent to a speaker-independent system. Traditional hidden Markov model (HMM) systems have successfully applied speaker-adaptation approaches to reduce this

The CMU SPHINX-4 speech recognition system
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ABSTRACT The Sphinx-4 speech recognition system is the latest addition to Carnegie Mellon University s repository of Sphinx speech recognition systems. It has been jointly designed by Carnegie Mellon University, Sun Microsystems Laboratories and Mitsubishi Electric

Speechbot: a speech recognition based audio indexing system for the web
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ABSTRACT We have developed an audio search engine incorporating speech recognition technology. This allows indexing of spoken documents from the World Wide Web when no transcription is available. This site indexes several talk and news radio shows covering a

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