A Revisit to Speech Processing and Analysis

Aniruddha Mohanty, Ravindranath C. Cherukuri
2020 International Journal of Computer Applications  
Speech recognition is an active area in signal processing.Various researchers have been invested different concepts in speech recognition system as part of feature extraction techniques, speech classifiers, statistical analysis, encompassing mathematical models, signal processing and transformations, database and performance evaluation. In the current era, multi speaker analysis is the newly focused area in speech processing and analysis. It includes audio segmentation, extraction of relevant
more » ... atures, classification of features, template generation and training. Also, other techniques like Bank-of-filters, Linear Predictive Coding Model, Vector Quantization, Hidden Markov Model and Gaussian Mixture Model to get better result. In this paper, various approaches have been analyzed based on acoustic and articular features focusing on Human Auditory System (HAS). Even focusing on the cross functional approach by using machine learning, artificial intelligence-based techniques and neural networks.
doi:10.5120/ijca2020920840 fatcat:wltztptukfablfqu64ymkbetwy