Open AccessAn Appraisal on Speech and Emotion Recognition Technologies based on Machine Learning
Author(s) -
Shishir Kumar,
C. Andy Jason
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e5715.018520
Subject(s) - computer science , speech recognition , variety (cybernetics) , speech technology , metric (unit) , feature (linguistics) , voice activity detection , feature extraction , segmentation , emotion recognition , natural language processing , process (computing) , speech processing , artificial intelligence , speech segmentation , linguistics , engineering , philosophy , operations management , operating system
In earlier days, people used speech as a means of communication or the way a listener is conveyed by voice or expression. But the idea of machine learning and various methods are necessary for the recognition of speech in the matter of interaction with machines. With a voice as a bio-metric through use and significance, speech has become an important part of speech development. In this article, we attempted to explain a variety of speech and emotion recognition techniques and comparisons between several methods based on existing algorithms and mostly speech-based methods. We have listed and distinguished speaking technologies that are focused on specifications, databases, classification, feature extraction, enhancement, segmentation and process of Speech Emotion recognition in this paper.