French Speech Recognition Dataset
This speech recognition dataset comprises 547 hours of telephone dialogues in French from 964 native speakers, providing audio recordings with detailed annotations (text, speaker ID, gender, age) to support speech recognition systems, natural language processing, and deep learning models for training and evaluating automatic speech recognition technology
-
- Hours
- 547
-
- Speakers
- 964
-
- Word Accuracy Rate
- 98%
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
This speech recognition dataset comprises 547 hours of telephone dialogues in French from 964 native speakers, providing audio recordings with detailed annotations (text, speaker ID, gender, age) to support speech recognition systems, natural language processing, and deep learning models for training and evaluating automatic speech recognition technology
- 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) |
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