Datasets:
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: int
- name: durationSeconds
dtype: float
- name: charsPerSecond
dtype: float
- 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: int
- name: durationSeconds
dtype: float
- name: charsPerSecond
dtype: float
- 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: int
- name: durationSeconds
dtype: float
- name: charsPerSecond
dtype: float
- 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: int
- name: durationSeconds
dtype: float
- name: charsPerSecond
dtype: float
- 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: int
- name: durationSeconds
dtype: float
- name: charsPerSecond
dtype: float
- 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
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
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
- 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
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 🤗.