[PDF] Top 20 Speech recognition using MFCC and RBFNN

Speech recognition using MFCC and RBFNN

... Voice Activity Detection (VAD) is a technique for finding voiced segments in speech and plays an important role in speech mining applications [4]. VAD ignores the additional signal information around the ... See full document

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Automatic Speech Recognition using MFCC in Feature Extraction based HMM for Human Computer Interaction in Hausa

... Efficient speech interface to computer has been drawing the attention of researchers globally because it is more convenient than the traditional ...of Speech human computer interaction is a difficult task ... See full document

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Environment Independent Speech Recognition System using MFCC (Mel-frequency cepstral coefficient)

... Abstract—- Speech recognition is a method of finding similarity between two ...taken using feature extraction algorithm called mel frequency cepstral co-efficient ...calculated using dynamic ... See full document

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Kannada Speech Recognition Using MFCC and KNN Classifier for Banking Applications

... independent speech recognition system for Malayalam ...employs MFCC as feature for signal processing and HMM for ...for recognition of the isolated question words from Malayalam speech ... See full document

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Isolated Telugu Speech Recognition using MFCC and Gamma tone features by Radial Basis Networks in Noisy Environment

... for speech recognition using speech features MFCC (Mel frequency Coefficients) and Gamma tone frequency coefficients for isolated Telugu words in noisy ...environment. Speech ... See full document

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Free Model Speech Recognition System Using MFCC Model

... of speech recognition ...continuous speech recognition systems with giant vocabulary, square measure in-demand which might be consummated by victimization the feature extraction technique ... See full document

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Hardware Implementation of Speech Recognition Using MFCC and Euclidean Distance

... Speech Recognition is the process of automatically recognizing the spoken words of person based on information in speech ...created using the phonetic combination of a set of vowel, semivowel ... See full document

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Speech Recognition System with Speaker Verification using HMM, LPC & MFCC

... all speech recognition techniques including commercially available ones like Nuance, Siri, Microsoft Speech SDK depends upon the clarity of spoken words and phrases for recognition accuracy, ... See full document

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MULTIPLE SPEAKERS SPEECH RECOGNITION FOR SPOKEN DIGITS USING MFCC AND LPC BASED ON EUCLIDEAN DISTANCE

... is speech recognition, for this reason the applications that come forth on the basis of speech recognition, have high level of favourable ...artificial speech recognition by ... See full document

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Speech Recognition using MFCC and Neural Networks

... use speech to interact with machines also. That is why, automatic speech recognition has gained a lot of ...for speech recognition exist like Dynamic Time Warping (DTW), Hidden Markov ... See full document

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VDCNN based Noise Robust Speech Recognition with Combination of GMM and MFCC Features

... the speech recognition systems require priori knowledge of twists and conditions in which it needs to ...automatic speech recognition in real time ... See full document

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6. A Hybrid Speech Recognition Technique Based On MFCC and PLP

... are MFCC (Mel-frequency cepstrum coefficients) and 11 to 20 are PLP (perceptual linear prediction) ...used speech description for speech recognition over loads of ...improves speech ... See full document

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A Review on Free Model Speech Recognition System Using MFCC Model

... models using speaker specific feature ...in speech signal) and speaker recognition. Speaker recognition is further classified as speaker dependent (which extract speaker characteristics to ... See full document

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Cross Breed Biometric Fusion at Feature Level Using Back Propagation Algorithm

... the speech signal is a key role for extracting and coding competently the consequential information in the ...LPC, MFCC and GTCC feature extraction technique are ...of speech recognition ... See full document

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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 ... See full document

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Speech Processing For Secluded Marathi Words Recognition Using MFCC Features

... speaker recognition system for secluded word recognition system based on a dynamic features of the Marathi speech signals by exploring Mel Frequency Cepstral Coefficient (MFCC) methods for ... See full document

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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 ... See full document

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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 ... See full document

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Feature Extraction Techniques in Speech Processing: A Survey

... Arabic speech recognition system was presented in ...digit recognition system is useful in various applications which are related with the use of numbers as input such as telephone dialing ... See full document

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Review on Computer Control with Voice Command (MFCC) using Ad-hoc Network

... in speech recognition. For the speech recognition projects with big vocabulary, HMM is better than NN but for small or medium vocabularies both techniques give satisfactory results [6, 7, ... See full document

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