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isolated-word

Dialectal Variations of Isolated Word Recognition

Dialectal Variations of Isolated Word Recognition

... Abstract. Speech can be considered as most important aspect of communication among living creatures. A lot of work has been done in the past in the area of speech processing but it has a wide variety of applications such ...

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Isolated Word Speech Recognition System Based On FPGA

Isolated Word Speech Recognition System Based On FPGA

... The simulation experiments have been done on the platform Matlab2010a. The recognizer was trained by using a Chinese isolated word database. The database consists of 10 words which were uttered by 60 ...

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Isolated Word Recognition System for Malayalam using Machine Learning

Isolated Word Recognition System for Malayalam using Machine Learning

... of isolated word utterance recognition in 1970s, during which prominent works were carried out by Velichko and Zagoruyko in Russia , Itakura in United State and Cakoe and Chiba in ...

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DWT and LPC based feature extraction methods for isolated word recognition

DWT and LPC based feature extraction methods for isolated word recognition

... In this article, new feature extraction methods, which utilize wavelet decomposition and reduced order linear predictive coding (LPC) coefficients, have been proposed for speech recognition. The coefficients have been ...

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The research on Uighur speaker-dependent isolated word speech recognition

The research on Uighur speaker-dependent isolated word speech recognition

... The small vocabulary and isolated word speech recognition technology has done preliminary exploration, the establishment of a foundation for the actual engineering applications. But far from practical ...

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Fuzzy Clustering Approach Using Data Fusion Theory and its Application To Automatic Isolated Word Recognition

Fuzzy Clustering Approach Using Data Fusion Theory and its Application To Automatic Isolated Word Recognition

... Applying fuzzy clustering algorithms for decision level data fusion in an automatic isolated word recognition system was proposed in this paper. In the proposed method, results coming from two speech ...

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Speech Recognition System and Isolated Word Recognition based on Hidden Markov Model (HMM) for Hearing Impaired

Speech Recognition System and Isolated Word Recognition based on Hidden Markov Model (HMM) for Hearing Impaired

... as Word Recognition or Isolated Word ...each word from their ...spoken word are state in- ...of word is considered as ...possible word sequence for the spoken ...Each ...

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DWT and MFCCs based Feature Extraction Methods for Isolated Word Recognition

DWT and MFCCs based Feature Extraction Methods for Isolated Word Recognition

... A new method for feature extraction is presented in this paper for speech recognition using a combination of discrete wavelet transform (DWT) and mel Frequency Cepstral Coefficients (MFCCs). The objective of this method ...

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Comparative Study of MFCC And LPC Algorithms for Gujrati Isolated Word Recognition

Comparative Study of MFCC And LPC Algorithms for Gujrati Isolated Word Recognition

... describes word “Gujarati”,(d) describes word “attack”, (e) describes words “Gujarati” and “Ahmadabad”, (f) describes words ”attack” and “Hiral” (a name) in Gujarati ...

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ISOLATED WORD SPEECH RECOGNITION SYSTEM USING DYNAMIC TIME WARPING

ISOLATED WORD SPEECH RECOGNITION SYSTEM USING DYNAMIC TIME WARPING

... To verify the approach of dynamic programming, several graphical user interface programs were created in Matlab. Several snapshots of them were shown earlier, the final program consists of a graphical user interface in ...

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Myanmar Continuous Speech to Isolated Word Segmentation

Myanmar Continuous Speech to Isolated Word Segmentation

... performance. Word boundary detection (SBD), also known as word breaking decides where a word begins and ...describes isolated word boundary detection using acoustic and prosodic ...

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ARMA lattice modeling for isolated word speech recognition.

ARMA lattice modeling for isolated word speech recognition.

... In isolated w o rd speech re co g n itio n system, it is im portant to d eve lop an accurate m odel that estim ates speech ...an isolated w o rd database indicate that the adopted lattice model provides s ...

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Isolated Word Recognition using Morph – Knowledge for Telugu Language

Isolated Word Recognition using Morph – Knowledge for Telugu Language

... The structure of the syllable is as shown where the onset corresponds to preceding consonant, a nucleus with the vowel and a coda to succeeding consonant respectively. In some cases the syllable can be formed only with a ...

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Speech recognition using PNCC and AANN

Speech recognition using PNCC and AANN

... the isolated words are extracted from the ...the isolated word segment. During training process each isolated word is separated into 20ms overlapping windows for extracting 13 PNCCs ...

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Improving Collocation Correction by Ranking Suggestions Using Linguistic Knowledge

Improving Collocation Correction by Ranking Suggestions Using Linguistic Knowledge

... a word co- occurrence with respect to its correctness as collocation and obtain suggestions for its correction in case it is determined to be a miscollocation; ...an isolated word co-occurrence; ...

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When do infants begin recognizing familiar words in sentences?

When do infants begin recognizing familiar words in sentences?

... earlier isolated word form studies were here randomly slotted into the carrier sentences the result was often agrammatical ...target word or ...

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Systematic Review On Speech Recognition Tools And Techniques Needed For Speech Application Development

Systematic Review On Speech Recognition Tools And Techniques Needed For Speech Application Development

... an isolated word recognizer for Tamil language which is an under- resourced language which makes unsupervised approaches to be attractive in this ...Yoruba Isolated ASR system using HTK which has the ...

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Literature Review on Automatic Speech Recognition

Literature Review on Automatic Speech Recognition

... across many simple computing units rather than encoded in individual units, rules, or procedures. Uncertainty is also modelled by the pattern of activity in many units and not as likelihoods or probability density ...

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Speaker Dependent and Independent Isolated Hindi Word Recognizer using Hidden Markov Model (HMM)

Speaker Dependent and Independent Isolated Hindi Word Recognizer using Hidden Markov Model (HMM)

... The paper is divided into two main sections first is about the speaker dependent isolated word recognizer and the second one is speaker independent isolated word recognizer; followed by ...

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Speech recognition using MFCC and RBFNN

Speech recognition using MFCC and RBFNN

... In this paper, we have proposed speech recognition system using RBFNN. Voice Activity Detection (VAD) is used for segregating individual words out of the continuous speeches. Features for each isolated word ...

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