MFCC features
Spoken Language Identification System using MFCC Features and Gaussian Mixture Model for Tamil and Telugu Languages
... (MFCC) features of the speech signal and Gaussian Mixture Model (GMM) that distinguishes between two different speech signal in Tamil and Telugu which are South Indian languages of ...
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Speech Processing For Secluded Marathi Words Recognition Using MFCC Features
... ABSTRACT: This paper proposes a speaker recognition system for secluded word recognition system based on a dynamic features of the Marathi speech signals by exploring Mel Frequency Cepstral Coefficient ...
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VDCNN based Noise Robust Speech Recognition with Combination of GMM and MFCC Features
... input features are expanded so more number of convolutional layers can be included the ...static features perform better than traditional dynamic ...
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Text Dependent Speaker Recognition using MFCC features and BPANN
... Before extracting the features from the speech signal, each speech sample is normalized using equation 1 to set the signal amplitude within a desired range i.e., between 0.1 and 0.9. Each speech sample is then ...
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Text Independent Speaker Modeling and Identification Based On MFCC Features
... Besacier, L., Bonastre, J., Fredouille, are proposed Localization and selection of speaker-specific information with statistical modeling. Statistical modelling of the speech signal has been widely used in speaker ...
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Grapheme Segmentation of Tamil Speech Signals using Excitation Information with MFCC and LPCC Features
... Borislava Mimer et.al.[1] investigated enhanced decision tree clustering scheme for context dependent modeling for grapheme based speech recognition on GlobalPhone database. They trained grapheme based speech recognizers ...
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Isolated Telugu Speech Recognition using MFCC and Gamma tone features by Radial Basis Networks in Noisy Environment
... with MFCC features have been extensively used for Speech recognition systems and gives good results for the system designed in clean speech environment (under no noise ...But MFCC features ...
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Speech recognition using MFCC and RBFNN
... MFCCs are short-term spectral features and are widely used in the area of audio and speech processing. The mel frequency cepstrum has proven to be highly effective in recognizing the structure of music signals and ...
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MFCC Based Speech Retrieval
... In speech processing, the Mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear Mel scale of frequency. ...
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Vector Quantization Approach for Speaker Recognition using MFCC and Inverted MFCC
... is MFCC and inverted MFCC, by using VQ technique ...phase, MFCC and inverted MFCC features were extracted in a similar way from an incoming speech utterance as done in the training ...
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SVM Scheme for Speech Emotion Recognition using MFCC Feature
... spectral features available [20], ...Here MFCC features are extracted from the Praat software [6] with window length 20ms and time step ...hence MFCC follows the Mel scale [14] which is a ...
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SPEAKER RECOGNITION USING MFCC AND DELTA- DELTA MFCC AND CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK
... of MFCC features we can extract the Delta MFCC ...Delta features to the change in the cepstral features with ...of MFCC feature represents the change between ...Delta ...
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Identification of Laryngeal Disorders Based On MFCC and Jitter and Shimmer Features and PSO Classifier
... on MFCC features and the second depending on Jitter and Shimmer features and the third by combining MFCC and Jitter and ...achieved features are used along with PSO algorithm to analyse ...
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LANGUAGE IDENTIFICATION SYSTEM USING MFCC AND SDC FEATURE
... Language identification system improves the performance by combining MFCC and SDC feature. SDC feature gives the information about phonemes of languages. Every language is having a unique phoneme. By this ...
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DWT/ MFCC Feature Extraction for Tile Tapping Sound Classification
... A novel computerized tapping sound classification scheme for computerized tile inspection was proposed. Inspired by the preceding success on classification based on MFCC features [13], an enhancement by ...
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Person Identification Based on Humming Using MFCC and Correlation Concept
... songs, MFCC features are found out by implementing the steps of MFCC which is described in above section ...Similarly MFCC features are found for testing file and the features of ...
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VOICE COMMAND RECOGNITION SYSTEM BASED ON MFCC AND DTW
... add features related to the change in cepstral features over ...velocity features (12 cepstral features plus energy), and 39 features a double delta or acceleration feature are ...
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Accuracy of MFCC-Based Speaker Recognition in Series 60 Device
... point MFCC implementation and compared it to the floating point ...The MFCC outputs computed from identical inputs with the two implementations did not correlate ...
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Free Model Speech Recognition System Using MFCC Model
... More than fifty years is that the gift of speech recognition system. The ASR systems influence be helpful not just for blind individuals however additionally let ready individuals to try and do alternative or another ...
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A new MFCC code for spectral amplitude coding OCDMA system
... proposed MFCC code.The new proposed optical MFCC code is represented in a matrix K×N where K rows represent the number of users and N columns represent minimum code ...
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