KGeN
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README.md
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- Audio signal processing
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- Voice synthesis (secondary use)
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- Natural language processing (NLP) applications (secondary use)
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- **Leaderboards**: None currently established.
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### Languages
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- **Primary Language**: English (en)
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### Data Instances
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Each instance consists of an audio file and corresponding metadata:
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- **Audio**: Stored in the `audio/` directory with filenames like `
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- **Formats**: MP3, WAV, or M4A
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- **Duration**: 20–25 seconds per recording
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### Data Fields
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The `metadata.csv` file includes:
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- `file_name`: Path to the audio file (e.g., `audio
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- `text`: The transcribed 50-word paragraph: "AI is transforming our world, from voice assistants to self-driving cars. Good AI needs quality data. Your voice helps train speech recognition. Speak clearly, naturally, without noise. Be yourself. Thanks for improving AI!"
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- `duration`: Audio length in seconds (e.g., 22)
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- `license`: License information (e.g., "CC BY 4.0")
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### Data Splits
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- **Default Split**: `train` (all data assigned to this split)
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- **Future Splits**: `validation` and `test` splits may be added as the dataset grows.
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## Dataset Creation
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- **Size**: The dataset is small (<1,000 samples), limiting its robustness for large-scale ASR training.
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- **Language**: Currently English-only; multilingual expansion is planned.
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- **Out-of-Scope Use**: Not designed for real-time speech applications or commercial use without adhering to the CC BY 4.0 license.
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## Additional Information
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### Dataset Curators
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- Maintained by the dataset creator (please add your name or organization if applicable).
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- Contact: Use the Hugging Face Discussions tab for inquiries or contributions.
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### Licensing Information
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- **License**: CC BY 4.0, permitting use, distribution, and modification with attribution. See [Creative Commons](https://creativecommons.org/licenses/by/4.0/) for details.
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### Citation Information
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```bibtex
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@dataset{audio_speech_recognition_2025,
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author = {Dataset Creator},
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title = {Audio Speech Recognition Dataset},
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year = {2025},
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publisher = {Hugging Face},
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license = {CC BY 4.0}
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}
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- Audio signal processing
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- Voice synthesis (secondary use)
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- Natural language processing (NLP) applications (secondary use)
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### Languages
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- **Primary Language**: English (en)
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### Data Instances
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Each instance consists of an audio file and corresponding metadata:
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- **Audio**: Stored in the `audio/` directory with filenames like `audio1.mp3`, `audio2.mp3`, etc.
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- **Formats**: MP3, WAV, or M4A
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- **Duration**: 20–25 seconds per recording
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### Data Fields
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The `metadata.csv` file includes:
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- `file_name`: Path to the audio file (e.g., `audio.mp3`)
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- `text`: The transcribed 50-word paragraph: "AI is transforming our world, from voice assistants to self-driving cars. Good AI needs quality data. Your voice helps train speech recognition. Speak clearly, naturally, without noise. Be yourself. Thanks for improving AI!"
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## Dataset Creation
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- **Size**: The dataset is small (<1,000 samples), limiting its robustness for large-scale ASR training.
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- **Language**: Currently English-only; multilingual expansion is planned.
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- **Out-of-Scope Use**: Not designed for real-time speech applications or commercial use without adhering to the CC BY 4.0 license.
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