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[PDF] Top 20 Environment Independent Speech Recognition System using MFCC (Mel-frequency cepstral coefficient)

Has 10000 "Environment Independent Speech Recognition System using MFCC (Mel-frequency cepstral coefficient)" found on our website. Below are the top 20 most common "Environment Independent Speech Recognition System using MFCC (Mel-frequency cepstral coefficient)".

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

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

... voice recognition is the method that calculates an optimal match between two given sequences with certain restrictions is called Dynamic time warping ...called mel-frequency Capstral ...similarity ... See full document

5

Analysis of Feature Extraction Methods for Speech Recognition

Analysis of Feature Extraction Methods for Speech Recognition

... by speech recognition. In speech recognition, feature extraction is the most imperative ...input speech that help the system in identifying the ...predictive cepstral ... See full document

6

Speech Processing For Secluded Marathi Words Recognition Using MFCC Features

Speech Processing For Secluded Marathi Words Recognition Using MFCC Features

... speaker recognition is having number of real time ...of system. Current era of speaker recognition is focused towards improving the performance of the ...speaker recognition system. The ... See full document

7

Feature Extraction Techniques in Speech Processing: A Survey

Feature Extraction Techniques in Speech Processing: A Survey

... letter. Mel-frequency cepstral coefficient (MFCC) was used as a feature extractor to characterize a ...noisy environment. This system is useful for commands & control, ... See full document

8

Optimization the Parameters for Speech Recognition System Using Genetic Algorithm

Optimization the Parameters for Speech Recognition System Using Genetic Algorithm

... extraction using Bionic Wavelet Transform (BWT) and Mel Frequency Cepstral Coefficient (MFCC) are carried over the speech frame of the input ...of speech ... See full document

8

GUI BASED REAL-TIME HOME AUTOMATION SYSTEM OPERATED BY VOICE COMMAND

GUI BASED REAL-TIME HOME AUTOMATION SYSTEM OPERATED BY VOICE COMMAND

... isolated speech recognition by using the Mel-Scale Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping ...(DTW). MFCC are extracted from speech ... See full document

10

A Review on Neural Network based Noise Robust Speech Recognition Methods

A Review on Neural Network based Noise Robust Speech Recognition Methods

... beings. Speech is a natural way of communication because it requires no special training as most of the humans are born with this ...if speech is used for Human Machine Interface ...ASR, Speech is ... See full document

7

Accent Recognition using MFCC and LPC with Acoustic Features

Accent Recognition using MFCC and LPC with Acoustic Features

... in speech increases recognition rate, but success rates vary among ...of speech signal. Mel Frequency Cepstral Coefficient (MFCC) and Linear Productive Coding (LPC) ... See full document

7

Spoken Language Identification System using MFCC Features and Gaussian Mixture Model for Tamil and Telugu Languages

Spoken Language Identification System using MFCC Features and Gaussian Mixture Model for Tamil and Telugu Languages

... under speech processing. Speech processing refers to the process of analysing the speech ...identification system using the Mel-Frequency Cepstral ... See full document

6

Text Independent Speaker Recognition System using GMM

Text Independent Speaker Recognition System using GMM

... the speech signal for the speaker recognition [4] task, such as Linear Prediction Coding (LPC), Mel-Frequency Cepstrum Coefficients (MFCC ...the speech signal by estimating the ... See full document

5

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

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

... features MFCC (Mel Frequency Cepstral Coefficients) and Gamma tone coefficients (GFCC) have been extracted from all the collected ...of speech wave forms. Then the speech ... See full document

8

Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models

Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models

... (Mel Frequency PLP) achieved 91% accuracy rate with 50 speakers randomly chosen from TIMIT da- tabase ...ing MFCC and IMFCC (Inverted MFCC) based on gaus- sian filter, reached ... See full document

6

Speaker recognition with hybrid features from a deep belief network

Speaker recognition with hybrid features from a deep belief network

... as Mel Frequency Cepstral Coefficients (MFCC) in many audio ...the MFCC features for speaker recognition task, which can be applied to audio scripts of different ... See full document

12

Face Biometrics Using Enhanced Version of Genetic Algorithm

Face Biometrics Using Enhanced Version of Genetic Algorithm

... face recognition has become a major field of interest. Face recognition is biometric system used to identify or verify a face of a person in security ...face recognition method which involves ... See full document

7

Improving Speaker Identification Performance by Combining Vocal Tract Features

Improving Speaker Identification Performance by Combining Vocal Tract Features

... as Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Mel Frequency Cepstral Coefficients (DMFCC) in speaker ...process. Mel frequency features are used ... See full document

7

Hardware Implementation of Speech Recognition Using MFCC and Euclidean Distance

Hardware Implementation of Speech Recognition Using MFCC and Euclidean Distance

... based speech recognition system with improved performance in terms of recognition accuracies and computational ...like Mel filter banks with Mel Frequency Cepstrum ... See full document

7

THE LEARNING METHOD OF SPEECH RECOGNITION BASED ON HMM

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 ... See full document

7

Real Time Speaker Recognition using Mel-Frequency Cepstral Coefficients (MFCC) ,VQLBG & GMM Techniques

Real Time Speaker Recognition using Mel-Frequency Cepstral Coefficients (MFCC) ,VQLBG & GMM Techniques

... obtained using MFCC and VQ are considerable. Accuracy obtained using VQLBG algorithm was ...sample using high quality audio devices in a noise free ...obtained using GMM algorithm for ... See full document

8

Phone Recognition On Timit Database Using Mel-Frequency Cepstral Coefficients And Support Vector Machine Classifier

Phone Recognition On Timit Database Using Mel-Frequency Cepstral Coefficients And Support Vector Machine Classifier

... the speech recognition is performed on 61 English phones extracted from TIMIT ...the speech signal of each phone is divided into 20 millisecond frames and for each frame, the MFCC ... See full document

7

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

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

... in recognition of speech under stress and formulates new features which are shown to improve stressed speech ...effect speech, and noisy actual stressed speech from the SUSAS database ... See full document

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