[PDF] Top 20 Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition
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Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition
... different feature extraction approaches are analyzed for finding the speaker specific ...i-vector extraction and bottleneck ...automatic speaker-recognition systems should focus ... See full document
10
Neural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten
... NN based recognition system has been studied and presented in ...percentage recognition accuracy of the neural classifier was observed to be optimum when tansigmoid activation functions are ... See full document
8
Neural network based feature extraction for speech and image recognition
... Table 6.1 summarizes the experimental results of the intra- and cross-lingual multi-layer per- ceptron features on the French corpus. The systems marked by F3 and F4 include cross-lingual multi-layer perceptron features, ... See full document
216
Feature Selection Method for Speaker Recognition using Neural Network
... artificial neural network (FFANN) [1, 12, 14, 15, 16] is a widely used classification technique, whereas non- linear methods of discrimination developed in the statistical field are much less widely ... See full document
7
Neural Network and Adaptive Feature Extraction Technique for Pattern Recognition
... pattern recognition has been renewed recently due to emerging applications which are not only challenging but also computationally more ...document classification, financial forecasting, organization and ... See full document
6
FEATURE SELECTION AND CLASSIFICATION TECHNIQUES FOR SPEAKER RECOGNITION
... of speaker identification system for vector quantizer (VQ) classifier A VQ codebook is designed by standard clustering procedures for each enrolled speaker using his training data, usually based upon ... See full document
8
DIAGONAL BASED FEATURE EXTRACTION FOR HANDWRITTEN ALPHABETS RECOGNITION SYSTEM USING NEURAL NETWORK
... of feature extraction are used for character recognition in the proposed ...of feature extraction are horizontal direction, vertical direction and diagonal ...the feature vector ... See full document
12
Genetic Algorithm based Feature Extraction for ECG Signal Classification using Neural Network
... work, classification technique in data mining is used for classifying normal and abnormal ...and Neural network classifier are used to achieve high accuracy in classification of ... See full document
5
Auto Regressive based Feature Extraction and Classification of Epileptic EEG using Artificial Neural Network
... After feature extraction secondary goal is to improve the accuracy of classi ...backpropgation based neural network ...for feature extraction and classification and ... See full document
6
Artificial Neural Network Classification for Fatigue Feature Extraction Parameters Based on Road Surface Response
... for classification for fatigue feature extraction parameters based on road surface response using the artificial neural network (ANN) ...for classification of the fatigue ... See full document
6
Cursive Handwriting Recognition System using Feature Extraction and Artificial Neural Network
... Writing Recognition System In the feature extraction process, resized individual character of size 90x 60 pixels is further divided into 54 equal zones, each of size 10x10 ...to extraction of ... See full document
5
LSTM neural network-based speaker segmentation using acoustic and language modelling
... possible speaker turn candidates ...detect speaker change points. Given a speaker change turn, the sequence of segments with overlapped speakers contain the speaker vector transition between ... See full document
5
Neural network based representation learning and modeling for speech and speaker recognition
... CNN-based acoustic modeling using raw waveforms 3.4.1.1 Raw waveform feature extraction and modeling As discussed in Section ...train acoustic models are Mel- filterbank-based ... See full document
128
Research Article Music Style Classification Algorithm Based on Music Feature Extraction and Deep Neural Network
... music based on the ...of neural networks and big data technology has provided a new way to better solve the problem of music-style classi ...method based on music extraction and deep ... See full document
7
Fingerprint based biometric recognition allied to fuzzy neural feature classification
... RBF Network Classifiers Whichever network is used, the overall processes are very ...the network and the network's response is ...the network, the errors for all the patterns are summed to ... See full document
322
Optimized Face Recognition Technique based on PCA and RBF Neural Network
... face recognition, pattern recognition ...computer based systems due to noisy data, high dimensionality, facial appearance, orientation and changes in environmental conditions ...a ... See full document
6
Neural Network Based Missing Feature Method For Text Independent Speaker Identification
... missing feature methods in text-independent speaker identification is to identify highly cor- rupted spectrographic representation of speech as missing ...uses neural networks to determine the reli- ... See full document
5
Feature Extraction and Classification Techniques for Speech Recognition: A Review
... Figure4.Speech recognition Technique Classification [2] A. Acoustic phonetic approach Acoustic phonetic approach for speech recognition is based on finding speech sound and ... See full document
5
Hybrid Topology for Feature Extraction and Classification of Vision Based Hand Gesture Recognition
... graphical based interfaces based on texts and followed by interfaces supported by multimedia to full-fledged multimodal 3D virtual environment (VE) ...common neural system in body processes both the ... See full document
6
Face Recognition using SOM Neural Network with Different Facial Feature Extraction Techniques
... face recognition system [15] ...geometry- based face detectors, a method examines the triangle- relationship between eye and mouth regions to identify the face ...image feature for face detection. ... See full document
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