--- dataset_info: - config_name: TV-2021.02-Neutral features: - name: audio dtype: audio: sampling_rate: 44100 - name: id dtype: string - name: subset dtype: string - name: style dtype: string - name: text dtype: string - name: samplerate dtype: int32 - name: durationSeconds dtype: float16 - name: charsPerSecond dtype: float16 - name: recording_year-month dtype: string - name: microphone dtype: string - name: speaker dtype: string - name: language dtype: string - name: comment dtype: string splits: - name: train num_bytes: 7290955038.594 num_examples: 22671 download_size: 6955484390 dataset_size: 7290955038.594 - config_name: TV-2021.06-Emotional features: - name: audio dtype: audio: sampling_rate: 44100 - name: id dtype: string - name: subset dtype: string - name: style dtype: string - name: text dtype: string - name: samplerate dtype: int32 - name: durationSeconds dtype: float16 - name: charsPerSecond dtype: float16 - name: recording_year-month dtype: string - name: microphone dtype: string - name: speaker dtype: string - name: language dtype: string - name: comment dtype: string splits: - name: train num_bytes: 793443429.88 num_examples: 2020 download_size: 748062212 dataset_size: 793443429.88 - config_name: TV-2022.10-Neutral features: - name: audio dtype: audio: sampling_rate: 44100 - name: id dtype: string - name: subset dtype: string - name: style dtype: string - name: text dtype: string - name: samplerate dtype: int32 - name: durationSeconds dtype: float16 - name: charsPerSecond dtype: float16 - name: recording_year-month dtype: string - name: microphone dtype: string - name: speaker dtype: string - name: language dtype: string - name: comment dtype: string splits: - name: train num_bytes: 3559397446.61 num_examples: 12451 download_size: 3166262433 dataset_size: 3559397446.61 - config_name: TV-2023.09-Hessisch features: - name: audio dtype: audio: sampling_rate: 44100 - name: id dtype: string - name: subset dtype: string - name: style dtype: string - name: text dtype: string - name: samplerate dtype: int32 - name: durationSeconds dtype: float16 - name: charsPerSecond dtype: float16 - name: recording_year-month dtype: string - name: microphone dtype: string - name: speaker dtype: string - name: language dtype: string - name: comment dtype: string splits: - name: train num_bytes: 689946875.552 num_examples: 2106 download_size: 627569003 dataset_size: 689946875.552 - config_name: all features: - name: audio dtype: audio: sampling_rate: 44100 - name: id dtype: string - name: subset dtype: string - name: style dtype: string - name: text dtype: string - name: samplerate dtype: int32 - name: durationSeconds dtype: float16 - name: charsPerSecond dtype: float16 - name: recording_year-month dtype: string - name: microphone dtype: string - name: speaker dtype: string - name: language dtype: string - name: comment dtype: string splits: - name: train num_bytes: 12622316045.072 num_examples: 39248 download_size: 11497149203 dataset_size: 12622316045.072 configs: - config_name: TV-2021.02-Neutral data_files: - split: train path: TV-2021.02-Neutral/train-* - config_name: TV-2021.06-Emotional data_files: - split: train path: TV-2021.06-Emotional/train-* - config_name: TV-2022.10-Neutral data_files: - split: train path: TV-2022.10-Neutral/train-* - config_name: TV-2023.09-Hessisch data_files: - split: train path: TV-2023.09-Hessisch/train-* - config_name: all data_files: - split: train path: all/train-* license: cc0-1.0 task_categories: - text-to-speech - text-to-audio language: - de --- # The "Thorsten-Voice" dataset This truly open source (CC0 license) german (🇩🇪) voice dataset contains about **40 hours of transcribed voice recordings** by Thorsten Müller, a single male, native speaker in **over 38.000 wave files**. * Mono * Samplerate: 44.100Hz * Denoised * Normalized to -24dB # Disclaimer ```"Please keep in mind, I am not a professional speaker, just an open source speech technology enthusiast who donates his voice. I contribute my personal voice as a person believing in a world where all people are equal. No matter of gender, sexual orientation, religion, skin color and geocoordinates of birth location. A global world where everybody is warmly welcome on any place on this planet and open and free knowledge and education is available to everyone." (Thorsten Müller)``` ## Features (attributes) This dataset contains following attributes. * **audio**: Actual audio file content. Is playable directly in the browser. * **id**: Unique identifier for each file. Format is "RecordingSessionGUID---WaveGUID". Adding a ".wav" to id will be the filename of recording. * **subset**: Name of recording session (details below). * **style**: Can be "neutral", "hessisch" (a german dialect) or a specific emotion (details below). * **text**: The recorded text in this wave file. * **samplerate**: The samplerate (44.100Hz) for the recording. * **durationSeconds**: Duration for audio file in seconds (rounded to 2). * **charsPerSecond**: The recording speed in characters spoken per second. * **recording_year-month**: In which month has text been recorded. * **microphone**: Some recordings has been made with a bad USB headset and some with a good Rode Podcaster microphone. * **speaker**: Guude 👋, it's me - Thorsten 😊. * **language**: All recordings are done in german language. * **comment**: Some (emotional) recordings might have cut off endings. This is written as comment on affected files. ## Subsets & styles ### Subset: TV-2021.02-Neutral This subset contains about 22.000 recordings in a **neutral style**. The recording quality is mixed. Bad USB microphone or good Rode Podcaster microphone and used a recording chamber. See microphone feature for information. The pronounciation is very clear and slow. Every word is pronounced very well, but the speech flow is less natural because of very clear recording. *This subset (in 22kHz samplerate) is also available on Zenodo under [DOI 10.5281/zenodo.5525342](https://doi.org/10.5281/zenodo.5525342)* ### Subset: TV-2022.10-Neutral This subset contains about 12.000 recordings in a **neutral style**. All recordings where done using a good Rode Podcaster microphone and a recording chamber. The speech flow is very natural. *This subset (in 22kHz samplerate) is also available on Zenodo under [DOI 10.5281/zenodo.7265581](https://doi.org/10.5281/zenodo.7265581)* ### Subset: TV-2021.06-Emotional This subset contains about 2.000 recordings in an **emotional style**. The recorded phrases are for all emotions identical but are pronounced in following different emotions. Some recordings might be cut off too early. *This subset (in 22kHz samplerate) is also available on Zenodo under [DOI 10.5281/zenodo.5525023](https://doi.org/10.5281/zenodo.5525023)* * neutral * surprised (*style: surprised | überrascht*) * disgusted (*style: disgusted | angewidert*) * drunk, taken sober (*style: drunk | angetrunken*) * angry (*style: angry | wütend*) * amused (*style: amused | amüsiert*) * whisper (style: *whisper | flüstern*) * sleepy (style: *sleepy | schläfrig*) ### Subset: TV-2023.09-Hessisch This subset contains about 2.000 recordings in a **Hessisch** (Guude aka. "Hi" 👋). Hessisch is a regional dialect spoken in the state of "Hessen" in the center region of germany. All recordings where done using a good Rode Podcaster microphone and a recording chamber. The speech flow is very natural. *This subset (in 22kHz samplerate) is also available on Zenodo under [DOI 10.5281/zenodo.10511260](https://doi.org/10.5281/zenodo.10511260)* ## Using dataset tbd Filtered # DOI / cite tbd # Thanks Thanks to all amazing open source communities around the globe for bringing the world forward. Of course, thanks to Dominik Kreutz for your great support over the years 🤗. # Links * https://www.Thorsten-Voice.de * https://github.com/thorstenMueller/Thorsten-Voice * https://huggingface.co/spaces/Thorsten-Voice/TTS