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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
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DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20250131T093508Z
UID:71070FEE-E329-4094-BB91-8A8B127890C7
DTSTART;TZID=Asia/Kolkata:20251205T140000
DTEND;TZID=Asia/Kolkata:20251205T170000
DESCRIPTION:Speech Emotion Recognition (SER) leverages AI to analyze vocal 
 patterns\, tone\, and pitch to detect human emotions\, enhancing human-com
 puter interaction (HCI). Machine learning and deep learning models process
  acoustic features\, linguistic cues\, and facial expressions for accurate
  emotion classification. Applications span virtual assistants\, customer s
 ervice\, mental health monitoring\, and sentiment analysis. While AI impro
 ves efficiency and personalization\, challenges include cultural variabili
 ty\, data bias\, and real-time processing. SER is shaping more intuitive\,
  responsive\, and emotionally aware AI systems for enhanced user experienc
 es.\n\nS D M College of Engineering and Technology\, Dharwad\, Karnataka\,
  India\, 580002
LOCATION:S D M College of Engineering and Technology\, Dharwad\, Karnataka\
 , India\, 580002
ORGANIZER:satishbhairannawar@gmail.com
SEQUENCE:8
SUMMARY:Speech Emotion Recognition: AI and Human Interaction
URL;VALUE=URI:https://events.vtools.ieee.org/m/465364
X-ALT-DESC:Description: <br /><p><strong>Speech Emotion Recognition (SER)</
 strong> leverages AI to analyze vocal patterns\, tone\, and pitch to detec
 t human emotions\, enhancing <strong>human-computer interaction (HCI)</str
 ong>. Machine learning and deep learning models process <strong>acoustic f
 eatures\, linguistic cues\, and facial expressions</strong> for accurate e
 motion classification. Applications span <strong>virtual assistants\, cust
 omer service\, mental health monitoring\, and sentiment analysis</strong>.
  While AI improves <strong>efficiency and personalization</strong>\, chall
 enges include <strong>cultural variability\, data bias\, and real-time pro
 cessing</strong>. SER is shaping more <strong>intuitive\, responsive\, and
  emotionally aware AI systems</strong> for enhanced user experiences.</p>
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