Common Voice Spontaneous Speech 2.0 - German

Specifics

Licensing

CC0 1.0 Universal

https://creativecommons.org/publicdomain/zero/1.0/legalcode

Considerations

Forbidden Usage

It is forbidden to attempt to determine the identity of speakers in the common Voice datasets. It is forbidden to re-host or re-share this dataset

Processes

Intended Use

This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.

Metadata

Deutsch — German (`de`)

This datasheet has been generated automatically, we would love to include more information, if you would like to help out, get in touch!

This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset for German (de). The dataset contains 214 clips representing 2 hours of recorded speech (1 hours validated) from 17 speakers.

Transcriptions

Prompts: 79
Duration: 1:04:12 [h:m:s]
Avg. Transcription Len: 138
Avg. Duration: 18.0[s]
Valid Duration: 260.46[s]
Total hours: 1.07[h]
Valid hours: 0.07[h]

Samples

Questions

There follows a randomly selected sample of questions used in the corpus.

Welches Tier magst du am meisten und warum?
Fährst du im Urlaub lieber an neue oder an bekannte Orte?
Kochst du gerne und wenn ja, was?
Welche Jahreszeit magst du am liebsten und warum?
Warum denkst du, ist es wichtig, verschiedene historische Persönlichkeiten zu studieren?

Responses

There follows a randomly selected sample of transcribed responses from the corpus.

Ich mag am liebsten die Rauchschwalben. Und zwar deswegen, weil sie so wunderbar singen, wenn sie nach dem Winter zurückkommen.
Fährst du im Urlaub lieber an neue oder an bekannte Orte.
Ich koche sehr gerne und sehr unterschiedliche Dinge
Ich mag am liebsten den Herbst, weil sich dann alles ein bisschen zurückfaltet.
Ehrlich gesagt glaube ich nicht, dass es wichtig ist, historische Persönlichkeiten zu studieren. Ich glaube, es ist wichtig, [disfluency]Strukturen zu verstehen, aber die Menschen als Persönlichkeiten sind, glaube ich, nicht so wichtig. Jedenfalls für die Geschichte.

Fields

Each row of a tsv file represents a single audio clip, and contains the following information:

client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
- transcription-length - character per second under 3 characters per second
- speech-rate - characters per second over 30 characters per second
- short-audio - audio length under 2 seconds
- long-audio - audio length over 30 seconds

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Community links

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Licence

This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.

Footnotes

For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2