scholarly journals Speech Emotion Recognition Using Machine Learning

2021 ◽  
Vol 10 (2) ◽  
pp. 1171-1176
Keyword(s):  
Machine Learning ◽  
Emotion Recognition ◽  
Speech Emotion Recognition ◽  
Huge Amount ◽  
Wide Assortment ◽  
Specialist Discussion

As individuals discourse is among the most regular approach to communicate. We depend huge amount on it that we perceive its significance when falling back on other correspondence structures like messages and instant messages where we frequently use emoticons to communicate the feelings related with the messages. As feelings assume an essential part in correspondence, the identification and investigation of the equivalent is of crucial significance in the present computerized universe of distant correspondence. Feeling recognition is a difficult undertaking, since feelings are abstract. There is no normal agreement on the best way to quantify or sort them. We characterize a SER framework as an assortment of procedures that cycle and order discourse signs to distinguish feelings installed in them. Such a framework can discover use in a wide assortment of use zones like intuitive voice based-partner or guest specialist discussion investigation. In this examination we endeavor to distinguish fundamental feelings in recorded discourse by breaking down the acoustic highlights of the sound information of accounts.

scholarly journals An Appraisal on Speech and Emotion Recognition Technologies based on Machine Learning

2020 ◽  
Vol 8 (5) ◽  
pp. 2266-2276 ◽  
Keyword(s):  
Machine Learning ◽  
Feature Extraction ◽  
Emotion Recognition ◽  
Speech Development ◽  
Speech Emotion Recognition ◽  
Part Of Speech ◽  
Classification Feature ◽  
The Way

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

scholarly journals Speech Based Emotion Recognition Using Machine Learning

2021 ◽  
Vol 9 (12) ◽  
pp. 2093-2095
Author(s):  
Vaibhav K. P.
Keyword(s):  
Machine Learning ◽  
Emotion Recognition ◽  
Research Topic ◽  
Speech Emotion Recognition ◽  
Lexical Analysis ◽  
Main Motive

Abstract: Speech emotion recognition is a trending research topic these days, with its main motive to improve the humanmachine interaction. At present, most of the work in this area utilizes extraction of discriminatory features for the purpose of classification of emotions into various categories. Most of the present work involves the utterance of words which is used for lexical analysis for emotion recognition. In our project, a technique is utilized for classifying emotions into Angry',' Calm', 'Fearful', 'Happy', and 'Sad' categories.

scholarly journals Automatic Speech Emotion Recognition Using Machine Learning

2020 ◽  
Author(s):  
Leila Kerkeni ◽  
Youssef Serrestou ◽  
Mohamed Mbarki ◽  
Kosai Raoof ◽  
Mohamed Ali Mahjoub ◽  
...  
Keyword(s):  
Machine Learning ◽  
Emotion Recognition ◽  
Speech Emotion Recognition

scholarly journals Machine Learning Based Emotion Recognition using Speech Signal

2019 ◽  
Vol 9 (1S5) ◽  
pp. 295-301
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Emotion Recognition ◽  
Speech Signal ◽  
Contemporary Literature ◽  
Speech Analysis ◽  
Speech Emotion Recognition ◽  
Analysis Methods ◽  
Computer Aided

The challenging module in CAS (computer-aided services) has recognized the emotion from the signals of speech. In SER (speech emotion recognition), several schemes have used for extracting emotions from the signals, comprising various classification & speech analysis methods. This manuscript represents an outline of methods & explores some contemporary literature where the existing models have used for emotion recognition based on speech. This literature review presents contributions that made towards emotion recognition of speech and extracted the features for determining emotions.

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