[PDF] Top 20 Neural Network Based Missing Feature Method For Text Independent Speaker Identification
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Neural Network Based Missing Feature Method For Text Independent Speaker Identification
... [1] Missing feature method has been proposed and shown promising performance com- pensating for additive noise regardless of its stationary ...this method is that noise can af- fect ... See full document
5
Text Dependent Speaker Recognition using MFCC features and BPANN
... analysis based on MFCC has proved good results in speaker ...given text are recorded for 40 ...(VQ) based K-means clustering is done for the entire MFCC with respect to the cluster ... See full document
9
An Overview on Speaker Identification Technologies
... of feature vectors of the training-speech signal is the text-dependent template ...of feature vectors from the testing-speech ...of feature vectors ...training feature vectors by some ... See full document
10
Deep neural network-based bottleneck feature and denoising autoencoder-based dereverberation for distant-talking speaker identification
... Neural network-based approaches have been pro- posed for feature mapping and dereverberation for speech/speaker recognition [35,36] because of their flex- ible ...ear feature ... See full document
13
Text based Speaker Identification on Multiparty Dialogues Using Multi document Convolutional Neural Networks
... at text-based speaker ...dialogues based on discrete stylistic ...their text-based speaker identification approach us- ing Logistic Regression and Recurrent ... See full document
7
Text Independent Speaker Modeling and Identification Based On MFCC Features
... of text-independent speaker recognition: From features to ...of speaker recognition and their effect on forensic human and automatic speaker ...automatic speaker recognition ... See full document
9
Kurdish speaker identification based on one dimensional convolutional neural network
... [19]. Speaker recognition can be classified into two parts in term of the data which are text-dependent and ...the text- dependent, the SRS builds based on the one or some specific phrases ... See full document
7
Speaker Identification System based on PLP Coefficients and Artificial Neural Network
... The text-dependent speaker identification system that we have developed can be divided into two “subsystems” or, in other words, has to accomplish two tasks: Digitize the spoken utterance; divide it ... See full document
6
Multiband Approach to Robust Text-Independent Speaker Identification
... the feature extraction of ...in speaker/speech recognition [Atal 1974, White and Neely ...used feature parameters, namely, the mel-frequency cepstral coefficients (MFCCs) [Vergin et ...This ... See full document
14
Speaker Independent and text Independent Emotion Recognition System Based on Random Forest Classifier
... In the speech emotion recognition system, the best features are provided to the classifier after the calculation of the features. The tasks of classifier recognizes the emotion in the speaker’s speech utterance. There ... See full document
8
Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master Slave Architecture
... of text as ...its feature vector and pattern matching with the statistically available vectors using HMM or neural network [1], ...a neural network model that learns the system ... See full document
5
Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition
... LDA method is used in several kinds of ...the speaker verification task with DNN and contribute there result to the classification process ...with speaker recognition models like universal background ... See full document
10
Feature Selection Method for Speaker Recognition using Neural Network
... recognition based on multilayer perceptron classifier and Euclidean distance classifier and found their recognition rates via classification as ...the speaker identity based on the non-linearity ... See full document
7
Single-channel dereverberation by feature mapping using cascade neural networks for robust distant speaker identification and speech recognition
... regression- based dereverberation method using cascade neural net- works ...anechoic feature vector. Two most important parts of the proposed method are the segment-based ... See full document
31
Performance Evaluation of Mel and Bark Scale based Features for Text Independent Speaker Identification
... Dr. S. B. Dhonde has completed his Ph.D. in Electronics Engineering from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. He has 19 Years of experience in teaching, research and industry. His area of interest ... See full document
5
Text-Dependent Speaker Verification System Using Neural Network.
... into text- dependent and text-independent ...the speaker to say key words or sentences having the same text for both training and recognition ...specific text being spoken, i.e. ... See full document
7
A Tutorial on Text Independent Speaker Verification
... the speaker (under stress or ill), the speaker cooperativeness (does the speaker want to be rec- ognized or does the impostor really want to cheat, is the speaker familiar with the system, and ... See full document
22
Implementing The Speaker Recognition Process In Python Using ‘Thuyg-20-Sre’ Data Set
... TO SPEAKER RECOGNITION When one has to communicate to a machine, the most efficient manner is the usage of ...the identification of the speaker that includes the features of ...terms Speaker ... See full document
5
Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM
... pretense speaker and another one trying to minimize the variation not related to the speaker providing a more stable decision ...the speaker is accepted otherwise it is rejected as shown in ... See full document
5
AN EFFICIENT SUPER PEER SELECTION ALGORITHM FOR PEER TO PEER (P2P) LIVE STREAMING NETWORK
... The performance of PID controller for NARX and NAR system identification models for oscillating pipe riser under vortex induced vibration has been investigated in this paper. The input- output data extracted from ... See full document
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