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README.md
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# SUMM-RE
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SUMM-RE is a collection of transcripts of French conversations, aligned with the audio signal.
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Data from the `dev` and `test` splits have been manually transcribed and aligned and so are suitable for the evaluation of automatic speech recognition and voice activity detection models.
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The audio and transcripts used to evaluate this pipeline, a subset of the `dev` split<sup>*</sup>, can be found on [Ortolang](https://www.ortolang.fr/market/corpora/summ-re-asru/).
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The full dataset is described in Hunter et al. (2024): "SUMM-RE: A corpus of French meeting-style conversations".
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The `dev` and `test` splits of SUMM-RE can be used for the evaluation of automatic speech recognition models and voice activity detection for conversational, spoken French.
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Speaker diarization can also be evaluated if several tracks of a same meeting are merged together.
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SUMM-RE transcripts can be used for the training of language models.
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## Dataset Description
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The SUMM-RE dataset is a corpus of meeting-style conversations in French created for the purpose of the SUMM-RE project (ANR-20-CE23-0017).
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Each conversation lasts roughly 20 minutes. The number of conversations contained in each split is as follows:
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- `train`: 210 (x ~20 minutes = ~
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- `dev`: 36 (x ~20 minutes = ~12 hours)
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- `test`: 37 (x ~20 minutes = ~12
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Each conversation contains 3-4 speakers (and in rare cases, 2) and each participant has an individual microphone and associated audio track, giving rise to the following number of tracks for each split:
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- `train`: 684
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- `dev`: 130
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- `test`: 124
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- **Created by:** Recording and manual correction of the corpus was carried out by the Language and Speech Lab (LPL) at the University of Aix-Marseille, France.
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- **Funded by:** The National Research Agency of France (ANR) for the SUMM-RE project (ANR-20-CE23-0017).
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- **Shared by:** LINAGORA (coordinator of the SUMM-RE project)
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- **Language:** French
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- **License:** CC BY-SA 4.0
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## Dataset Structure
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# SUMM-RE
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The SUMM-RE dataset is a collection of transcripts of French conversations, aligned with the audio signal.
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It is a corpus of meeting-style conversations in French created for the purpose of the SUMM-RE project (ANR-20-CE23-0017).
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The full dataset is described in Hunter et al. (2024): "SUMM-RE: A corpus of French meeting-style conversations".
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- **Created by:** Recording and manual correction of the corpus was carried out by the Language and Speech Lab (LPL) at the University of Aix-Marseille, France.
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- **Funded by:** The National Research Agency of France (ANR) for the SUMM-RE project (ANR-20-CE23-0017).
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- **Shared by:** LINAGORA (coordinator of the SUMM-RE project)
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- **Language:** French
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- **License:** CC BY-SA 4.0
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## Dataset Description
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Data from the `dev` and `test` splits have been manually transcribed and aligned and so are suitable for the evaluation of automatic speech recognition and voice activity detection models.
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The audio and transcripts used to evaluate this pipeline, a subset of the `dev` split<sup>*</sup>, can be found on [Ortolang](https://www.ortolang.fr/market/corpora/summ-re-asru/).
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The `dev` and `test` splits of SUMM-RE can be used for the evaluation of automatic speech recognition models and voice activity detection for conversational, spoken French.
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Speaker diarization can also be evaluated if several tracks of a same meeting are merged together.
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SUMM-RE transcripts can be used for the training of language models.
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Each conversation lasts roughly 20 minutes. The number of conversations contained in each split is as follows:
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- `train`: 210 (x ~20 minutes = ~67 hours)
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- `dev`: 36 (x ~20 minutes = ~12 hours)
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- `test`: 37 (x ~20 minutes = ~12 hours)
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Each conversation contains 3-4 speakers (and in rare cases, 2) and each participant has an individual microphone and associated audio track, giving rise to the following number of tracks for each split:
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- `train`: 684 (x ~20 minutes = ~226 hours)
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- `dev`: 130 (x ~20 minutes = ~43 hours)
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- `test`: 124 (x ~20 minutes = ~41 hours)
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## Dataset Structure
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