Speech and Emotion Video Dataset for KYC Verification
Dataset of 45 people, each with 27 video clips (3 sentences × 3 emotions × 3 camera views) and 9 audio recordings for speaker verification and emotion recognition.
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-
- people
- 45
-
- videos
- 1 215
-
- audios
- 405
- Facial Recognition
- Speech Recognition
- Machine learning
- Emotion Recognition
- Computer Vision
-
- people
- 45
-
- videos
- 1 215
-
- audios
- 405
Dataset Info
| Characteristic | Data |
| Description | Video of people for emotion and speech recognition |
| Data types | Video |
| Tasks | Emotion recognition, Speech Recognition |
| Number of people | 45 |
| Number of videos | 1 215 |
| Number of audios | 405 |
| Labeling | Metadata (ID, gender, ethnicity, sentence id, emotion, camera, duration(sec), fps, width, height) |
| Emotions | Neutral, Angry/Agitated, Sad/Disappointed |
| Gender | Male, Female |
attacks monthly
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Technical
Characteristics
| Characteristic | Data |
| Video extension | MOV |
| Audio extension | WAV |
Industries
Financial Industry
-
Remote KYC & Onboarding:
Train and test end-to-end identity verification pipelines that combine facial recognition, liveness detection (lip-sync), and speaker verification in a single session.
-
Fraud Prevention:
Enhance models to detect suspicious behavior by recognizing emotional cues (e.g., agitation, stress) that may indicate social engineering or coerced authorizations.
E-commerce and Retail:
-
Voice-Controlled Shopping:
Develop secure voice assistants for smart devices that allow for vocal identity confirmation before processing orders or accessing payment details.
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