Speech Emotion Recognition Dataset
A voice dataset featuring the same English text spoken with four different emotional tones
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- audio
- 30,000+
-
- emotions
- 4
- Emotion Recognition
- Speech Analysis
- Audio
- ASR
- NLP
- Machine learning
-
- audio
- 30,000+
-
- emotions
- 4
Dataset Info
| Characteristic | Data |
| Description | Dataset of audio recordings featuring 4 distinct emotions |
| Data types | Audio |
| Tasks | Emotion recognition, NLP |
| Total number of files | 30,000+ |
| Emotion | Euphoria, joy, sadness, and surprise |
| Labeling | Annotation (text content, gender, age and country) |
| Gender | Male, Female |
Technical
Characteristics
| Characteristic | Data |
| Audio Format | WAV, mpeg, amr |
| Recording condition | Low background noise |
Industries
Entertainment Industry:
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Natural Language Processing:
Developing and refining NLP models for applications in chatbots, virtual assistants, and conversational agents.
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Content Personalization:
Analyzing emotional tones in voice to tailor media recommendations, improving viewer engagement and satisfaction.
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Game Development:
Implementing emotion recognition to create adaptive gaming experiences that respond to players’ emotional states.
Medicine and Healthcare:
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Mental Health Monitoring:
Using speech emotion analysis to assess patients’ emotional well-being, aiding in early detection of mental health issues.
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