continuous mixture-density hidden Markov model-based speech recognition systems
Continuous Speech Recognition System A Review
... A continuous speech recognition system for Korean language was developed using phone-based semi- continuous hidden Markov model (SCHMM) method at University of ...
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A Review on Automatic Speech Recognition System in Indian Regional Languages
... state Hidden Markov Model (HMM) left to right with 32 mixture continuous density diagonal covariance Gaussian Mixture Model (GMM) per state was used to build a ...
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A comparative review of dynamic neural networks and hidden Markov model methods for mobile on device speech recognition
... high-accuracy speech recognition algorithms without an effective evaluation of their impact on the target computational resource is impractical for mobile and embedded ...mobile-based speech ...
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Product Named Entity Recognition Based on Hierarchical Hidden Markov Model
... Note that, if β equal to 1 then two models are mixed with equivalent weight. We can see that, as β goes up, the F-measures of PRO and TYP increase obviously firstly, and begin to go down slightly after a period of ...
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Speech based Emotion Recognition with Gaussian Mixture Model
... emotion recognition systems using excitation ...emotion recognition models using spectral features, as the decision regarding the emotion category of the feature vector is taken based on its ...
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Speech Recognition System and Isolated Word Recognition based on Hidden Markov Model (HMM) for Hearing Impaired
... These systems can be either speaker dependent or speaker in- ...the speech of that trained speakers ...words recognition is done for a quantity of ...[6]. Hidden Markov Model is ...
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An enhanced hybrid DBN/HMM for Tamil language speech recognition system
... of speech recognition system. The HMM/MLP, hybrid approach speech recognition system, uses MLP to estimate phone class probabilities, that are utilized in an observation probabilities for a ...
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Technical Review and Analysis of Popular Speech Recognition Techniques for Ubiquitous Human Computer Interaction
... Automatic continuous speech recognition (CSR) has many potential applications which includescommand and control, transcription of recorded speech, dictation, searching audio documents and ...
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Nepali Speech Recognition using RNN CTC Model
... Speech Recognition has been practiced widely with variety of ...(Hidden Markov Model) was used for speech ...probabilistic model that is capable of learning patterns in ...
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HTK Based Speech Recognition Systems for Indian Regional languages: A Review
... digits speech recognition system using Matlab ...is based on the Hidden Markov Model ...the speech waveform with the translating the speech waveform into a set of ...
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Evaluation of Phonetic System for Speech Recognition on Smartphone
... of speech recognition by phonetic system, back propagation Neural Network, Hidden Markov Model, Support Vector Machine and Gaussian Mixture Model-based techniques ...
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1. Connected speech recognition for authentication
... alpha-digit recognition system using context-independent syllables, and reported that performance of syllable based system, which simultaneously exploits temporal and spectral variations, was better than ...
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Hardware-Software Codesign of a Large Vocabulary Continuous Speech Recognition system.
... monophone model is represented in terms of individual ...rules, speech impairment and coarticulation affect are taken into consideration while building the context dependent models like the biphone and ...
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Implementation of Text to Speech Conversion Technique
... During continuous speech, the articulator movements depend on the preceding and the following ...that speech signal is always continuous and phonetic notation is always ...
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The recognition system of sickle cell anemia by using hidden markov model
... This research aims to design an algorithm that shows nucleotides that is responsible for generating DNA sequences that contain a genetic mutation that has caused one of the most common diseases of sickle cell anemia by ...
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Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition
... Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition Xuedong Huang, Fil Alleva, S[.] ...
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An expressive HMM based text to speech synthesis system utilizing glottal inverse filtering for Tamil language
... Tamil speech signal is decomposed in to the glottal source signal G(n) and all pole model of vocal tract V(z) utilizing the IAIF ...pole model of voice source G(z), the fundamental frequency (F0) and ...
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Optimization the Parameters for Speech Recognition System Using Genetic Algorithm
... for speech recognition but the slow convergence speed of the training HMM and HMM parameters optimization are the great interesting ...the recognition rate increased up to ...
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Development of a brain MRI-based hidden Markov model for dementia recognition
... for hidden Markov modelling (around 20,000 in two groups, 130-140/individual), a VQ method [31] is required to map the set of vectors into a finite, smaller, set of prototype vectors for ...
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Intelligent Speech Interaction with Mechatronic System using HMM
... automatic speech recognition system, which enables to control functions of the system using a set of voice commands and is based on Hidden Markov ...a speech recognition a ...
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