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- W4285285655 abstract "Verbal communication is key for understanding any human being. Verbal communication even shows various emotions of a person. During pandemic, online learning systems are used everywhere that need to be understands the emotions of learner for happy learning. Many applications introduced for speech analysis. Deep learning applications are growing faster as time in various fields like image recognition, health care, natural language processing, machine and language translation, and many more. People never imagined that such applications will give produce Alexa like virtual assistants. In similar concepts, emotion recognition is also nowadays one of the important factors to be considered for further research. An audio analysis is a field that works on digital signal processing, tagging, music classification, speech synthesis, and automatic speech recognition like techniques. Information is extracted for the virtual assistants from the audio signals only. For the same work, it is mandatory to analyze audio data; in this paper, how a tool can be built that understands and explores data for emotion recognition using machine and deep learning platforms is mentioned and described." @default.
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- W4285285655 date "2022-01-01" @default.
- W4285285655 modified "2023-09-29" @default.
- W4285285655 title "Emotion Recognition of Speech by Audio Analysis using Machine Learning and Deep Learning Techniques" @default.
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- W4285285655 doi "https://doi.org/10.1007/978-981-19-2211-4_25" @default.
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