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doc: update changelog
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hbredin committed Sep 15, 2023
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### Features and improvements

- feat(task): add [powerset](https://www.isca-speech.org/archive/interspeech_2023/plaquet23_interspeech.html) support to `SpeakerDiarization` task
- feat(task): add support for multi-task models
- feat(task): add support for label scope in speaker diarization task
- feat(task): add support for missing classes in multi-label segmentation task
- feat(model): add segmentation model based on torchaudio self-supervised representation
- feat(pipeline): send pipeline to device with `pipeline.to(device)`
- feat(pipeline): make `segmentation_batch_size` and `embedding_batch_size` mutable in `SpeakerDiarization` pipeline (they now default to `1`)
- feat(task): add [powerset](https://arxiv.org/PLACEHOLDER) support to `SpeakerDiarization` task
- feat(pipeline): add `return_embeddings` option to `SpeakerDiarization` pipeline
- feat(pipeline): make `segmentation_batch_size` and `embedding_batch_size` mutable in `SpeakerDiarization` pipeline (they now default to `1`)
- feat(pipeline): add progress hook to pipelines
- feat(pipeline): check version compatibility at load time
- feat(task): add support for label scope in speaker diarization task
- feat(task): add support for missing classes in multi-label segmentation task
- improve(task): load metadata as tensors rather than pyannote.core instances
- improve(task): improve error message on missing specifications

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