isolated word recognition
Dialectal Variations of Isolated Word Recognition
... speech recognition, speaker identification, speech synthesis, machine translation, information retrieval system and ...of isolated word ...of isolated speech recognition ...125 ...
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Comparative Study of MFCC And LPC Algorithms for Gujrati Isolated Word Recognition
... for isolated word recognition using Mel-Frequency Cepstral Coefficient (MFCC) for Gujarati ...each word has been repeated 5 times by the ...
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Fuzzy Clustering Approach Using Data Fusion Theory and its Application To Automatic Isolated Word Recognition
... automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, ...
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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 shape. Speech Recognition is the operating system which enablesto convert spoken words to written text which is ...
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DWT and LPC based feature extraction methods for isolated word recognition
... speech recognition experiments were conducted under clean and noisy conditions using the TI-46 and own created Marathi digit ...Dependent Isolated Word Corpus [22] has two datasets, namely, TI-20 and ...
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Isolated Word Recognition System for Malayalam using Machine Learning
... speech recognition systems with HMM and proved ...digit recognition system for English implemented us- ing HMM gave an accuracy rate of ...speech recognition works carried out with continuous ...
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Isolated Word Recognition using Morph – Knowledge for Telugu Language
... a word BAgyaM There is a body of related work that grows faster and faster as briefed in Déjean H [11] first induces a list of 100 most frequent morphemes and then uses those morphemes for word ...
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DWT and MFCCs based Feature Extraction Methods for Isolated Word Recognition
... speaker Recognition system performance can be improved by using a new feature extraction technique A new set of features can be generated by concatenating both DWT and MFCCs ...the recognition rate of this ...
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Speaker-independent isolated word recognition using multiple hidden Markov models
... Consideration of the speech production process suggests that Gaussian mixture models offer a good description, and the EM algorithm is an effective classification me[r] ...
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Hoedemaker_unc_0153D_15226.pdf
... ocular recognition tasks, average baseline responses in the fastest bin were 243 ms (dissimilar foils, Experiment 1) and 267 ms (similar foils, Experiment ...(ocular recognition with dissimilar foils, ...
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An Overview of Basics Speech Recognition and Autonomous Approach for Smart Home IOT Low Power Devices
... Speech recognition systems can be configured to work on isolated words or even on continuous speech [14] ...on isolated words be- cause it has the highest rate of accuracy and also it doesn’t require ...
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Literature Review on Automatic Speech Recognition
... Acoustic model is the main component for an ASR and it accounts for most of the computational load and performance of the system. It is used to link the observed features of the speech signals with the expected phonetics ...
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Speaker Dependent and Independent Isolated Hindi Word Recognizer using Hidden Markov Model (HMM)
... each word in vocabularyK=10 occurrences were recorded and each occurrence here epitomize to an observation ...speech recognition [42]. For each word a distinct HMM is built and the model parameters ...
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The right visual field advantage and the optimal viewing position effect: On the relation between foveal and parafoveal word recognition
... In general, then, both the commonly found word-beginning superiority effect in foveal word recognition and the R V F advantage in parafoveal word recognition are likely[r] ...
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The onset of word form recognition
... infant word form recognition using HT and ERPs in ...of word form recognition at 11 months, using a somewhat more difficult experimental procedure (33 rather than 11 familiar word ...
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Speech Enhancement Using Neural Network
... This paper describes a neural network speech enhancement system using Multilayer Perceptron (MLP) network and trained using the back propagation algorithm (BPA). Speech enhancement is generally refers to map noisy speech ...
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Early processes in letter and word recognition
... unknown word unless it has some word recognition process other than that provided by its network undergoing training, the brain will not know whether its response to it is correct or ...
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Cascaded and thresholded processing in visual word recognition: does the Dual Route Cascaded model require a threshold?
... visual word recognition, perhaps not all the levels of processing assumed in the reading system may communicate with one another through feedback ...visual word recognition needs to be ...
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Isolated Words Recognition System Based on Hybrid Approach DTW/GHMM
... The work presented in this paper is an alternative hybrid approach DTW/HMM used in speech recognition using hidden Markov model with DTW algorithm. The goal of this work is to apply DTW to solve the lack of ...
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Word Recognition in Predictive Contexts
... shown word by word in the center of a monitor with 600 ms SOA: every word was displayed for 300 ms in white font on a gray background and followed by a 300ms blank ...
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