French Speech Recognition Dataset
The dataset comprises 547 hours of telephone dialogues in French, collected from 964 native speakers across various topics and domains
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-
- hours
- 547
-
- speakers
- 964
-
- Word Accuracy Rate
- 98%
- NLP
- LLM
- Machine learning
- Audio Processing
- ASR
- Voice Recognition
-
- hours
- 547
-
- speakers
- 964
-
- Word Accuracy Rate
- 98%
Dataset Info
| Characteristic | Data |
| Description | Audio of telephone dialogues in French for training NLP models in real-world conversational scenarios. |
| Data types | Audio |
| Tasks | Speech recognition, NLP |
| Country | France (FRA) |
| Hours of telephone dialogue | 547 |
| Number of speakers | 964 |
| Labeling | Annotation (text content, speaker's ID, gender, age and other attributes) |
| Gender | Male (41%), Female (59%) |
| Recording device | Telephone |
Statistics
-
- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Audio Format | PCM, a-law/u-law |
| Sampling Rate | 8kHz |
| Number of Channels | Mono |
| Recording condition | Low background noise (indoor) |
Industries
Entertainment Industry:
-
Natural Language Processing:
Developing and refining NLP models for applications in chatbots, virtual assistants, and conversational agents.
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Voice Recognition Systems:
Enhancing customer service automation and improving user experience through accurate speech recognition in telephone dialogues.
Education:
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Language Learning Tools:
Providing authentic conversational data to support language acquisition and improve teaching methodologies.
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