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@@ -72,4 +72,17 @@ tags:
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  - speaker-diarization
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  - voice-activity-detection
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  - speaker-segmentation
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - speaker-diarization
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  - voice-activity-detection
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  - speaker-segmentation
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+ ---
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+
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+ ## Dataset Description
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+
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+ The AMI Meeting Corpus consists of 100 hours of meeting recordings. The recordings use a range of signals
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+ synchronized to a common timeline. These include close-talking and far-field microphones, individual and
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+ room-view video cameras, and output from a slide projector and an electronic whiteboard. During the meetings,
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+ the participants also have unsynchronized pens available to them that record what is written. The meetings
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+ were recorded in English using three different rooms with different acoustic properties, and include mostly
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+ non-native speakers.
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+
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+ **Note**: This dataset has been preprocessed using [diarizers](https://github.com/kamilakesbi/diarizers/tree/main/datasets).
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+ It makes the dataset compatible with `diarizers` scripts to fine-tune `pyannote` segmentation models.
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+