Emolyze Apple Watch app. Your Child. Safe and Happy
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This document outlines features for an Apple Watch app that can analyze vocal intonations and emotions, monitor loudness and tone of voice, recognize monitored words and detect suspicious or dangerous behavior, detect alarm sounds, and provide emotional background monitoring. The app would use techniques like real-time emotion recognition from speech and acoustic properties of alarm sounds.
Emolyze Apple Watch app. Your Child. Safe and Happy
- 2. Intro Apple Watch App features Analyzing emotions from Vocal intonations Detecting alarm sounds Emotional backgrounds monitor
- 5. Loudness monitor Normal voice
- 6. Loudness monitor Very loud
- 7. Neutral Tone of voice monitor
- 8. Blushing Tone of voice monitor
- 9. in Love Tone of voice monitor
- 10. Sad Tone of voice monitor
- 11. Angry Tone of voice monitor
- 12. Surprised Tone of voice monitor
- 13. Excited Tone of voice monitor
- 14. Intonation, tone Suspicious behavior detected
- 15. Intonation, tone Suspicious behavior detected
- 19. Science behind the app RECOGNIZING THE ACOUSTIC PROPERTIES OF ALARM SOUNDS EMOVOICE - REAL-TIME EMOTION RECOGNITION FROM SPEECH T. VOGT, E. ANDR AND N. BEE, "EMOVOICE - A FRAMEWORK FOR ONLINE RECOGNITION OF EMOTIONS FROM VOICE," IN PROCEEDINGS OF WORKSHOP ON PERCEPTION AND INTERACTIVE TECHNOLOGIES FOR SPEECH-BASED SYSTEMS, 2008. J. WAGNER, F. LINGENFELSER, AND E. ANDRE, THE SOCIAL SIGNAL INTERPRETATION FRAMEWORK (SSI) FOR REAL TIME SIGNAL PROCESSING AND RECOGNITIONS," IN PROCEEDINGS OF INTERSPEECH 2011, FLORENCE, ITALY, 2011. DETECTING ALARM SOUNDS DANIEL P.W. ELLIS DEPARTMENT OF ELECTRICAL ENGINEERING, COLUMBIA UNIVERSITY, NEW YORK NY USA