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README.md
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dtype: string
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- name: text
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dtype: string
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- name: samplerate
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dtype: int32
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- name: durationSeconds
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dtype: float16
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- name: charsPerSecond
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dtype: float16
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- name: recording_year-month
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dtype: string
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- name: microphone
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dtype: string
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- name: speaker
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dtype: string
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- name: language
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dtype: string
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- name: comment
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dtype: string
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splits:
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- name: train
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num_bytes: 3557867498.0
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num_examples: 12451
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download_size: 3166062564
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dataset_size: 3557867498.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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license: cc-by-4.0
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language:
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- de
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tags:
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- speech
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- audio
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- tts
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- thorsten-voice
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- german
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size_categories:
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- 10K<n<100K
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---
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# Thorsten-Voice TV-24kHz-Neutral Dataset
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This dataset is a resampled version of the "TV-2022.10-Neutral" configuration from the original [Thorsten-Voice TV-44kHz-Full](https://huggingface.co/datasets/Thorsten-Voice/TV-44kHz-Full) dataset, converted from 44.1kHz to 24kHz sampling rate.
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## Dataset Description
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The Thorsten-Voice dataset contains German speech recordings by Thorsten Müller, suitable for text-to-speech (TTS) training and other speech synthesis tasks.
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### Changes from Original
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- **Sample Rate**: Converted from 44.1kHz to 24kHz
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- **Format**: Maintained in Parquet format for efficient loading
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- **Content**: All other metadata and text content remains identical
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### Use Cases
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- Text-to-Speech (TTS) model training
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- German speech synthesis research
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- Voice cloning applications
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- Speech processing experiments
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## Loading the Dataset
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```python
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from datasets import load_dataset
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dataset = load_dataset("Thorsten-Voice/TV-24kHz-Neutral")
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```
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## Citation
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If you use this dataset, please cite the original Thorsten-Voice work:
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```
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@misc{thorsten-voice,
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title={Thorsten-Voice},
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author={Thorsten Müller},
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year={2022},
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url={https://github.com/thorstenMueller/Thorsten-Voice}
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}
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```
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## License
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This dataset maintains the same CC-BY-4.0 license as the original Thorsten-Voice dataset.
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