[PDF] Top 20 Text Independent Speaker Modeling and Identification Based On MFCC Features
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Text Independent Speaker Modeling and Identification Based On MFCC Features
... each speaker has his or her characteristic manner of speaking, including the use of a particular accent, rhythm, intonation style, pronunciation pattern, choice of vocabulary and so ...State-of-the-art ... See full document
9
Neural Network Based Missing Feature Method For Text Independent Speaker Identification
... We use the neural network to estimate mask for missing feature reconstruction method in text independent speak- er identification. Four features representing speech are discussed to train the ... See full document
5
An Overview on Speaker Identification Technologies
... the text-dependent template ...some modeling technique like ...generating speaker-based vector quantization (VQ) codebooks for speaker ...for text-dependent speaker ... See full document
10
TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS
... Since MFCC‟s are high in dimensions and truncation of these dependent coefficients may lead to error in identification of speaker‟s speech ...paper text independent speaker ... See full document
8
Multiband Approach to Robust Text-Independent Speaker Identification
... in speaker/speech recognition [Atal 1974, White and Neely ...is based on the fact that human perception of the frequency contents of sounds does not follow a linear ...these speaker ... See full document
14
Improvement of Text Dependent Speaker Identification System Using Neuro-Genetic Hybrid Algorithm in Office Environmental Conditions
... automated text dependent speaker identification system has been proposed in noisy ...The identification process incorporates the Neuro- Genetic hybrid algorithm with cepstral based ... See full document
6
Speaker Identification System using Wavelet Transform and VQ modeling Technique
... in speaker identification system as the success of these systems is dependent on the robust features extracted from speech ...of speaker identification. Most popular techniques are ... See full document
5
Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models
... ing MFCC and IMFCC (Inverted MFCC) based on gaus- sian filter, reached ...an identification sys- tem based on novel parametric neural network, reaching 94% accuracy with 40 ... See full document
6
Speaker Independent and text Independent Emotion Recognition System Based on Random Forest Classifier
... The values of the input signal are described by the continuous number. These values can change corresponding to the types of emotions. Therefore the extraction of features from these values are an important factor ... See full document
8
On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation
... difference hybrid pattern classification approach for text independent speaker identification.. system; in these approaches, we combined a hybrid decision tree, GMM and VQ model.[r] ... See full document
15
Performance Evaluation of Mel and Bark Scale based Features for Text Independent Speaker Identification
... A filter bank model and LPC model are widely used as signal processing front end tools for speech processing. The advantage of using filter banks is that they can be designed to cover an analysis band from 150 Hz to 7000 ... See full document
5
Text Dependent Speaker Recognition using MFCC features and BPANN
... each speaker, 5 samples are taken for feature extraction and ...classifier based direct method. The comparison of neural network based and minimum distance based classifiers are shown in Table ... See full document
9
Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM
... a text independent speaker identification and verification system using Gaussian Mixture ...as speaker speech feature parameters and the concept of Gaussian Mixture Model for ... See full document
5
Speaker identification system using MFCC procedure and noise reduction method
... Biometric can be defined as study of life which includes humans, animals and plants. The word is taken from the Greek word where ‘Bio’ means life and ‘Metric’ means measure (Quatieri, 2002). It is a system of identifying ... See full document
28
Accuracy of MFCC-Based Speaker Recognition in Series 60 Device
... We tested our implementation in a Nokia 3660 mobile phone for some time outside the laboratory conditions. The recog- nition accuracy was poor and we decided to investigate the effect of different signals. We created a ... See full document
12
Identification of Laryngeal Disorders Based On MFCC and Jitter and Shimmer Features and PSO Classifier
... (PSO) based on simulation of birds and fish categories ...method based on stochastic techniques that can be used to find the global minimum (non-deterministic) of non-linear planning ... See full document
8
Text Independent Speaker Recognition System using GMM
... the speaker recognition [4] task, such as Linear Prediction Coding (LPC), Mel-Frequency Cepstrum Coefficients (MFCC ...line. MFCC‟s are based on the known variation of the human ear‟s critical ... See full document
5
Efficient Text Independent Speaker Identification using Optimized Hierarchical Mixture Clustering
... In this approach, during training phase, speaker independent model Universal Background Model was generated and then individual speaker models has been built using supervised adaptation.[r] ... See full document
6
Vector Quantization Approach for Speaker Recognition using MFCC and Inverted MFCC
... the speaker models are formed by clustering the speaker’s feature vectors in K non-overlapping ...VQ-based speaker recognition is typically defined as the quantization distortion between two vector ... See full document
7
DWT and MFCCs based Feature Extraction Methods for Isolated Word Recognition
... a speaker model and a matching technique is called a ...in speaker identification systems include Gaussian Mixture Models (GMMs), Vector Quantization (VQ), HMMs and ...systems based on the ... See full document
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