HMM-based isolated word recognition
Speech Recognition System and Isolated Word Recognition based on Hidden Markov Model (HMM) for Hearing Impaired
... Speech recognition is an automated conversion of spoken works into system based readable text ...Speech Recognition. Some speech recognition systems recog- nize only one person’s voice which ...
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The research on Uighur speaker-dependent isolated word speech recognition
... and HMM is based on the identification of statistical models, sufficient data for training speech recognition results with greater ...voice recognition will eventually have to go out of the ...
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Software/Hardware Co-Design of HMM Based Isolated Digit Recognition System
... Speech recognition system has been developed for many real world applications, often using low cost speech recognition ...robust isolated word recognition system in hardware, ...
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Isolated word recognition from in-ear microphone data using Hidden Markov Models (HMM)
... The first primitive recognizer was developed at Bell Labs during the early 1950s. However, it was the 1960s that brought many major breakthroughs to the field of ASR. Some of these achievements are noteworthy to mention ...
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A Comparative Survey of DTW And HMM using Hausa Isolated Digits Recognition in Human Computer Interaction System
... an isolated word sample by comparing it against a number of stored word templates to determine the one that perfectly matches ...given word will have somewhat different ...systems based ...
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DWT and MFCCs based Feature Extraction Methods for Isolated Word Recognition
... Speech Recognition (ASR) systems based on the Hidden Markov Model (HMM) have been used extensively in the mid ...1980’s. HMM is a well-known and widely used statistical method for ...
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Speaker Dependent and Independent Isolated Hindi Word Recognizer using Hidden Markov Model (HMM)
... These conditions result into a model with transitions from current state to another state only if its indices are higher and the state sequence is allowed to begin at state 1 only.It has been seen that the error is ...
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Dialectal Variations of Isolated Word Recognition
... Speech Recognition comprises of following constituents pronunciation dictionary, language model, feature extraction acoustic analysis, Hidden Markov Model (HMM) based acoustic ...Speech ...
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Isolated Word Recognition System for Malayalam using Machine Learning
... Speech Recognition (ASR) has received greater level of acceptance as it creates speech recognition by the human machine ...syllable based speech recog- nition system for Malayalam ...the word ...
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English Sentence Recognition Based on HMM and Clustering
... English word, more feature data and more complex changes in pronunciation make the Eng- lish sentence speech recognition more ...every word pronunciation in English sentence is usually more natural, ...
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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 ...an HMM based Tamil Speech ...
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Speech Recognition Approach Based on Speech Feature Clustering and HMM
... traditional HMM isolated word speech recognition system, the classical Viterbi algorithm which uses forward iteration of the mathematical methods solves the hidden Markov model decoding ...
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Isolated Words Recognition System Based on Hybrid Approach DTW/GHMM
... for isolated spoken word recognition using Hidden Markov Model models (HMM) combined with Dynamic time warping ...(DTW). HMM have been shown to be robust in spoken recognition ...
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On an Advanced Strategy of Gammachirp Wavelet Transform for Isolated Words Recognition using HMM
... The results are more consistent with the GWTFCC than spectral method like MFCC or perceptual methods PLP. The feature-based gammachirp wavelet transform reduces the relative word error rate by 5-10% for ...
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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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Using Senses in HMM Word Alignment
... Other similar work includes that in (Ng et al., 2003), where a sense-annotated corpus was automat- ically generated from a parallel corpus. This is done by word-aligning the parallel corpus, and then find- ing the ...
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Children's Sensitivity to Pitch Variation in Language
... a word form are informative about foundational mental capacities that underlie language acquisition, but they do not necessarily indicate how phonetic variation is interpreted ...a word when it is spoken by ...
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A Simplistic Way of Feature Extraction Directed towards a Better Recognition Accuracy
... the recognition system could be a real time system. Ultimately, HMM has been used as recognition tool to get a recognition accuracy of ...
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Named Entity Recognition using an HMM based Chunk Tagger
... Previous approaches have typically used manually constructed finite state patterns, which attempt to match against a sequence of words in much the same way as a general regular expression matcher. Typical systems are ...
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An Advanced Method for Person Identification from Image Using HMM
... Face recognition with its wide range of commercial and law enforcement applications has been one of the most active areas of research in the field of computer vision and pattern recognition due to the new ...
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