feature-based speech recognition
Speech Recognition System Approaches, Techniques And Tools For Mathematical Expressions: A Review
... in speech recognition, selecting appropriate features from speech signal is an important ...the speech recognition system is in audio form, it is necessary to convert it into some ...
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Speech Based Emotion Recognition Using Feature Normalization and Neural Network
... emotion recognition. The requirement of human emotion recognition is increasing rapidly so that we can introduce a revolution in the field of machine intelligence and make it possible for the machines to ...
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Emotion Recognition from Speech Using IG-Based Feature Compensation
... MFCC feature outperformed prosodic features in the inside test, prosodic features achieved better performance in both outside-open and outside-closed ...the speech content and the ...to speech ...
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THE LEARNING METHOD OF SPEECH RECOGNITION BASED ON HMM
... towards speech recognition. It implements Automatic Speech Recognition System based on the following: Preprocessing, Feature Extraction Technique (MFCC- Mel Frequency Cepstrum ...
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A Survey on Feature Extraction Algorithm for the Speech Recognition System
... for speech recognition has been a high demand in the recent ...to speech is to introduce an enhanced system for automatic speech ...Automatic Speech Recognition (ASR) is an ...
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Comparison of Image Transform-Based Features for Visual Speech Recognition in Clean and Corrupted Videos
... the feature types per- form similarly and that they are a ff ected in a uniform way by increased video ...improve recognition rates for visual speech recognition on compressed video a new ...
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Electromyographic analysis for silent speech detection
... the recognition of isolated Spanish language syllables for a silent-speech interface based on EMG ...for feature vector calculation, including: Fast Fourier Transform, Root Mean Square, ...
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Analysis of Dysarthric Speech using Distinctive Feature Recognition
... assist speech therapists in developing intervention ...dysarthric speech data for DF ...values based on phonetic transcriptions are computed. For non- dysarthric speech, our system achieves an ...
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Combining feature and model-based adaptation of RNNLMs for multi-genre broadcast speech recognition
... automatic speech recognition ...are: feature-based adaptation, where the input to the RNNLM is augmented with auxiliary features; and model-based adaptation, which includes model ...
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Improving of Feature Selection in Speech Emotion Recognition Based-on Hybrid Evolutionary Algorithms
... proposed speech emotion recognition system by using Matlab R2017 software, and we used 535 speech signals of standard Berlin emotional speech dataset (EMO- DB) to evaluat our proposed ...
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Title: PERFORMANCE COMPARISON OF ROBUST SPEECH RECOGNITION USING DIFFERENT FEATURE EXTRACTION TECHNIQUES
... request based information systems that give invigorated travel information, stock esteem references, atmosphere reports, Data section, voice correspondence, access to information: travel, keeping cash, Commands, ...
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Analysis of Feature Extraction Methods for Speech Recognition
... for speech feature extraction [1]. The MFCC are based on the known variation of the human ear’s critical bandwidth frequencies with filters spaced linearly at low frequencies and logarithmic at high ...
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The Learning Method of Speech Recognition Based on HMM
... error recognition because of error ...pattern recognition is applied to speaker- independent and continuous speech recognition of ...continuous speech recognition of greeting ...
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A new joint CTC-attention-based speech recognition model with multi-level multi-head attention
... (CTC)-attention-based speech recognition has recently received increasing focus and has achieved impressive ...the feature extraction and attention ...
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Feature Extraction and Classification Techniques for Speech Recognition: A Review
... Hidden markov model (HMM): A hidden markov model is signalizing by a finite state markov model and a set of output distributions. The alteration parameter in the Markov chain models are temporal variability’s, while the ...
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Speech Recognition Approach Based on Speech Feature Clustering and HMM
... the speech feature ...the speech feature parameters whose dimension has been ...the speech samples are classified into different clusters according to their ...the speech ...
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Multilingual Blended Speech Recognition using Gaussian Mixture Model for Non-Dictionary Words
... N-Gram based algorithm was designed, in which concept of classes is used instead of ...The feature vectors which were generated after first phase of language ID were segmented into different 'broad phonetic ...
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Noise-robust speech feature processing with empirical mode decomposition
... a feature post-processing scheme for noise-robust speech recognition frontend based on ...that speech sig- nals are non-stationary and non-linear, so EMD is theo- retically superior to ...
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Speech Feature Extraction and Recognition Using Genetic Algorithm
... In recent years, study on Genetic Algorithm can be found in many research papers [2], [3], [4]. They demonstrated different characteristics in Genetic Algorithm than others. For example, parallel search based on ...
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Feature Optimization of Speech Emotion Recognition
... method based on the Back Propagation (BP) neural network is ...of speech emotion, MFCC feature extracted from the fundamental frequency curve (MFCCF0) and amplitude perturbation parameters extracted ...
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