As emotions play a vital role in communication, the detection and analysis of the same is of vital importance in today’s digital world of remote communication. Emotion detection is a challenging task because emotions are subjective. There is no common consensus on how to measure or categorize them. We define a SER system as a collection of methodologies that process and classify speech signals to detect emotions embedded in them. Such a system can find use in a wide variety of application areas like interactive voice based-assistant or caller-agent conversation analysis. The study attempts to detect underlying emotions in recorded speech by analysing the acoustic features of the audio data of recordings.
Know More : Speech Recognition(SER) through Machine Learning
Brillio has been ranked in the 25th position under 50 Best Firms In India For Data Scientists To Work For […]
Brillio has been ranked in the 25th position under 50 Best Firms In India For Data Scientists To Work For […]
In the latest interview with @ET HRworld , @ megan Ackerson talked about how @ Brillio is looking ahead at […]
Mosesraj R, CIO and head of excellence at Brillio in his interview with CIO.com talks about hiring in cybersecurity, AI, […]
All Rights Reserved.