Speech feature extraction which attempts to obtain a parametric representation of an input speech signal plays a crucial role in the overall performance of an Automatic Speech Recognition (ASR) system. A good feature extraction technique must capture the important characteristics of the signal also shou...
In the proposed work, hybrid feature extraction technique combines the perceptual linear predictive (PLP) and mel frequency cepstral coefficient (MFCC) to improve the accuracy of ASR in noisy environment. Voice activity and detection (VAD)-based frame dropping is used for improving the phonemes ...
Feature Extraction technique extracts the basic components of Tamil Characters in Stone inscription and then it translates the components for further recognition procedures. Structural Features are extracted. Presence of dots, loops and curves in Tamil character makes Feature Extraction a challenging process...
We have constructed the feature extraction method for unsupervised learning and the convolutional neural network for supervised learning. Next, we implement weight sharing between AE and CNN. Specifically, we construct an autoencoder (Fig.1) and train it on input data in an unsupervised manner to ...
In linguistics, the Anaphora Resolution (AR) is the method of identifying the antecedent for anaphora. In simple terms, this is the problem that helps to s
Feature Extraction and Analysis of Speech Quality for Tamil Text-To-Speech Synthesis System using Fast Fourier TransformSpeech is an art and unique in nature when pronounced by the human beings. Whereas in technical terms, speech is a signal that is generated while vocal tract is energized by ...
This paper presents a new Tamil document classification model using feature selection with deep learning (DL) models. The presented model incorporates different processes such as preprocessing, feature extraction, feature selection, and classification. The proposed model uses Word2Vec and Glove techniques...
This paper discussed more into more depth on Hubert Huang Transform for feature extraction. Among the factor discussed and analyzed include the techniques advantages, performance and drawbacks.E.M. TamilR. HamzahM.Y.I. IdrisInternational Conference on Biomedical Engineering...
The experiments were conducted on real time datasets and the performance is evaluated with single and multiple feature subsets with SVM classifier.doi:10.1016/j.matpr.2020.09.537B. Rajasekhar aP. Tamilarasu bD. Ravi Shankar cNalajala lakshman Pratap d...
This paper aims to construct a speech recognition system for Tamil language. Mel Frequency Cepstral Coefficients (MFCC) is a commonly used feature extraction technique for speech recognition which is computed by applying DCT to the mel-scale filter bank output. Instead of DCT, Integrated Phoneme ...