[PDF] Top 20 Accent Recognition using MFCC and LPC with Acoustic Features

Accent Recognition using MFCC and LPC with Acoustic Features

... MFCC is an audio feature extraction technique which extracts parameters of the speech similar to the ones that are applied by humans to hear speech, while at the same time, deemphasizes all other data. The speech ... See full document

7

Development Of Speech Recognition System For Forensic Application

... There are also called as feature extraction or front-end analysis. This speech analysis is important step and also the first step in the automatic speech recognition system. The objective of this process is to ... See full document

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Accent Recognition for Indian English using Acoustic Feature Approach

... The recognition and classification of accent is also challenging problem in speech recognition research ....The recognition rate of French accented speaker of English was lower than that for ... See full document

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1. An approach of speech recognition system for desktop application

... Initially MFCC method has considered developing speech recognition system but there were some issues such as less accuracy, it was difficult to face removal of voice and silence so ...finally LPC ... See full document

8

Comparative Study of MFCC And LPC Algorithms for Gujrati Isolated Word Recognition

... As shown in figure-1, the signal is passed through very first stage of emphasizes which will increase the energy of the signal at higher frequency to compensate the high-frequency part that was suppressed during the ... See full document

5

Vector Quantization Approach for Speaker Recognition using MFCC and Inverted MFCC

... the features. Over the years, Mel- Frequency Cepstral Coefficients (MFCC) modeled on the human auditory system has been used as a standard acoustic feature set for speech related ...speaker ... See full document

7

Emotion Recognition of Speech Signals Using Priori Information of Speaker's Gender

... emotion recognition. The MFCC parameterization techniques aim to simulate the way how a sound is perceived by a ...estimated using a windowed periodogram via the discrete Fourier transformation (DFT) ... See full document

12

Speech Processing For Secluded Marathi Words Recognition Using MFCC Features

... the MFCC processes is shown in figure5. Block diagram of MFCC The speech waveform is cropped to remove silence or acoustical interference that may be present in the beginning or end of the sound ... See full document

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Speaker Recognition and Gender Identification using Artificial Neural Network and Support Vector Machine

... the acoustic spectrum [5] [6], however these parameters are severely affected by ...The LPC Residual signal representing the speakers glottal information [7], helps improve the speaker recognition ... See full document

6

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 word under ... See full document

5

Emotion recognition using Speech Signal: A Review

... like MFCC (Mel Frequency Cepstrum Coefficient) provide the highest accuracy on all databases provided using the linear kernel [6] and the spectral coefficients derived from LPC (Linear Predictive ... See full document

7

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

... speech Recognition (ASR) is association of hardware and software that saves distinct features of speech with a source of input equipment, like a microphone and other processes these substitutes to match ... See full document

5

Speaker Recognition System and Algorithms

... speaker recognition system (SRS) using Mel-Frequency Cepstrum Coefficients (MFCC), Linear Prediction writing (LPC) as feature extraction techniques and Vector quantisation (VQ) as speaker ... See full document

5

Detection of Voice Disguise by Various Disguising Factors

... speaker recognition system and also showed that machine outperforms human in case of detecting whether the voice is disguised or ...Speaker Recognition System (FASRS) was studied in ...speaker ... See full document

6

A Review: Person Recognition Based on Humming

... for recognition of a speaker, but over here, instead of using speech, hum of a person is used for the same ...Different features like Mel Frequency Cepstral Coefficients (MFCC), Linear ... See full document

5

Text Dependent Speaker Recognition using MFCC features and BPANN

... The acoustic analysis based on MFCC has proved good results in speaker ...Also MFCC has proved to be good in confrontation with different variation such as noise, prosody, ...entire MFCC with ... See full document

9

Speech/Non-Speech Segmentation Based on Phoneme Recognition Features

... the acoustic properties of data that are manifested in either the time and frequency or spectral (cepstral) ...properties, features based on these characteristics can be usefully applied in SNS classi- ... See full document

13

Spoken Digits Recognition using Weighted MFCC and Improved Features for Dynamic Time Warping

... speech recognition (ASR) systems is to recognize the human speeches, such as words and sentences, using algorithms evaluated by a computer without the interference of ...pattern recognition task, the ... See full document

7

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

... User speaks small word or digit like '1', '2' and system must convert them to text. The work is designed to recognize speech in varying criteria like shaky and unclear voices. It was observed that the performance of the ... See full document

7

Emotion Recognition from Acted Assamese Speech

... emotion recognition in the ...Log-energy features do not improve the recognition ...14 MFCC, 14delta-MFCC, and ...eight features chosen by a feature selection algorithm developed ... See full document

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