speech recognition system




SCARF: A segmental CRF speech recognition system
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The SCARF system uses Segmental Conditional Random Fields-also known as Semi- Markov Random Fields [3] or SCRFs-as a theoretical underpinning. To explain these, we begin with the standard Conditional Random Field model [4], as illustrated in Figure 1.

Large vocabulary speech recognition system: SPOJUS++
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ABSTRACT In this paper, we describe Large vocabulary Continuous Speech Recognition (LVCSR) system SPOJUS++ which has been developed in our laboratory for over 20 years and recently fully reimplemented from scratch. SPOJUS++ employs a context-dependent

Speech recognition for a travel reservation system
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ABSTRACT In this paper, we present our work on speech recognition for a spoken dialog system for automatic travel reservations. The system can receive speech input from an analog line or from IP telephony through a web site. The system uses speech recognition,

A Language Model in a Large-Vocabulary Speech Recognition System
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ABSTRACT A language model for large-vocabulary speech recognition system is introduced in this paper. The Turing s probability estimation of n-grams is discussed in detail. The search strategy used in the language model is also described. In the end, some

A Sphinx Based Speech-Music Segmentation Front-End For Improving The Performance Of An Automatic Speech Recognition System In Turkish
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ABSTRACT In this study a system that segments an audio signal as speech and music by using posterior probability based features is proposed and implemented in Sphinx. Unlike the earlier efforts that uses Multi-Layer Perceptrons (MLP), this system uses Hidden-

Improved Vector Quantization Approach for Discrete HMM Speech Recognition System
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ABSTRACT The paper presents an improved Vector Quantization (VQ) approach for discrete Hidden Markov Models (HMMs). This improved VQ approach performs an optimal distribution of VQ codebook components on HMM states. This technique, that we named

Analysis and Optimization of Telephone Speech Command Recognition System Performance in Noisy Environment
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ABSTRACT. This paper deals with the analysis and optimization of a speech command recognition system (SCRS) trained on Czech telephone database Speechdat (E) for use in a selected noisy environment. The SCRS is based on hidden Markov models of context

Understanding the CMU Sphinx Speech Recognition System
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CF Liao ,Department of Computer Science, National Chengchi ,chunfengliao.com ABSTRACT The Sphinx-II is a speech recognition engine developed by CMU. It can be used to build both small, medium or large vocabulary applications. This project focused on finding out how an speech recognition engine can be implemented using HMM by referring to

Korean Continuous Speech Recognition System Using Context-Dependent Phone SCHMMs
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ABSTRACT This paper presents the Korean continuous speech recognition system using phone-based semi-continuous hidden Markov model (SCHMM, also known as a tied- mixture model) method. The system has the following three features. First, an embedded

Speech Recognition System of Arabic Digits based on A Telephony Arabic Corpus
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ABSTRACT Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speech recognition. Spoken digits recognition process is required in many applications such as speech based telephone dialing, airline reservation, automatic

Using smoothed heteroscedastic linear discriminant analysis in large vocabulary continuous speech recognition system
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ABSTRACT. In the state-of-the-art speech recognition systems, Heteroscedastic Linear Discriminant Analysis (HLDA) is becoming popular technique allowing for feature decorrelation and dimensionality reduction. However, HLDA relies on statistics, which

Implementation of Tamil speech recognition system using neural networks
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This paper presents a neural network approach for speech recognition in Tamil language. In the present work the structure of a speaker-independent system for isolated word recognition, based on a neural network paradigm combined with a dynamic programming

Comparative Study Of Speech recognition System using various feature extraction techniques
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It is very important to detect the speech endpoints accurately in speech recognition. This paper presents a comparative analysis of various feature extraction techniques of endpoint detection in speech recognition of isolated words in noisy environments. The endpoint

Accessing language specific linguistic information for triphone model generation: feature tables in a speech recognition system
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ABSTRACT This paper is concerned with a novel methodology for generating phonetic questions used in tree-based state tying for speech recognition. In order to implement a speech recognition system, language-dependent knowledge which goes beyond

A Speaker:Independent Continuous Speech Recognition System Using Biomimetic
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ABSTRACT..---In speaker-independent speech recogni:tion. the disadvantage of the most di ? used technology (HMMs. or Hidden Markov models) is not only the need of m any m ore training sam ples, but also long train tim e requirem ent. This PaPer describes the use of

Word recognition from the DARPA resource management database with the Cambridge recurrent error propagation network speech recognition system
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ABSTRACT Recent work with Recurrent Error Propagation Networks has shown that they can perform at least as well as the current best Hidden Markov Models for speaker independent phoneme recognition on the TIMIT task. Acw curate phoneme recognition is

An SVM Front-end Landmark Speech Recognition System
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ABSTRACT Support vector machines (SVMs) can be trained to detect manner transitions between phones and to identify the manner and place of articulation of any given phone. The SVMs can perform these tasks with high accuracy using a variety of acoustic

Wireless Remote Control System for Household Appliances Using Speech Recognition
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Nowadays, many kinds of wireless remote controllers for household appliances are used in daily life. One of inconvenient operation for the visual-impaired or elderly people is the recognition of the wireless remote controllers. For example, it is difficult for visual-impaired

A Comparison of Commercial Speech Recognition Components for Use with the Project54System
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Project54 is a collaborative research and development effort between the University of New Hampshire and the New Hampshire Department of Safety. The Project54 effort concentrates on the integration of embedded mobile computing equipment and wireless

A super phonetic system and multi-dialect Chinese speech corpus for speech recognition
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In this paper, we describe the work on Chinese multi-dialect speech processing. Based on the phonetic analysis of ten Chinese dialects, we have created a Chinese super phonetic system for the Chinese speech recognition. To exam this phonetic system and develop

Recognition error handling by the speech understanding system to improve spoken dialogue systems
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The aim of this paper is to increase the robustness of speech understanding facing the different kinds of recognition error. Indeed, these errors are frequent in human-machine dialogue and have usually repercussions on all components of the spoken dialogue

Character error correction for Chinese speech recognition system
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ABSTRACT With continuous speech recognition technology, one can input documents to computer very fast. Unfortunately, speech recognition can not achieve 100% accuracy, and users have to correct the recognition errors. Therefore the average throughput, which is

Database for an automatic Speech Recognition System for Argentine Spanish
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ABSTRACT The goal of this project was the design and realisation of a database to be used in an automatic speech recognition system for a fixed telephone network. names, as well as phonetically rich sentences. One thousand speakers, native to five Argentine dialectal

A Flexible VLSI 60,000 Word Real-Time Continuous Speech Recognition System
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ABSTRACT Speech recognition technology has come to a stage where the underlying recognition algorithm (hidden Markov model) has stabilized and impressive recognition accuracies for certain task domains are obtained. For example, speaker dependent

text to speech real time



Real-time speech-to-text services
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Deaf students have also benefited greatly from the presence of more than 2,000 two-year community colleges throughout the country, affording young deaf adults the opportunity to enroll in careeroriented curricula near their homes. Many are also able to take advantage

Intralingual speech-to-text-conversion in real-time: Challenges and Opportunities
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Abstract Intralingual speech-to-text-conversion is a useful tool for integrating people with hearing impairments in oral communication settings, eg councelling interviews or conferences. However, the transfer of speech into written language in real time requires

A real-time synchronization algorithm between Text-To-Speech (TTS) system and Robot Mouth for Social Robotic Applications
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Abstract:Human-Robot Interaction (HRI) is one of the most important subfields of social robotics. In several applications, text-to-speech techniques are used by robots to provide feedback to humans. In this respect, a natural synchronization between the synthetic voice

Implementation of Text-To-Speech for Real Time Embedded System Using Raspberry Processor
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ABSTRACT: The real time hardware implementation of Text-To-Speech system has been drawing attention of the research community due to its various real time applications. These include reading aids for the blind, talking aid for the vocally handicapped and training aids

Fast-track Text Processing for Real-time Text-to-speech on Mobile Devices
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Abstract This paper presents a fast-track text processing strategy for real-time text-to-speech (TTS) on mobile devices. In a multi-thread process, the TTS response time varies up on the length of the first text segment given by a text


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