* bump pyannote to 3.0

* add wespeaker inference

* add weights normalization, cpu for numpy conversion

* unify api

* remove try catch

* always normalize

* use PretrainedSpeakerEmbedding in Loader

* Fix min-max normalization equation

* fix: remove imports

* Change embedding model return type to Callable

Co-authored-by: Simon <[email protected]>

* fix: remove type checking

* remove from active if NaN embeddings

* Fix wrong typing of model in `LazyModel`

* add docstrings

* Simplify EmbeddingModel.__call__()

* Add numpy import

* add normalize boolean

* Update requirements.txt

* Update setup.cfg

* Apply suggestions from code review

* Fix wrong kwarg name

* add abstract __call__

* move __call__ to parent class

---------

Co-authored-by: Juan Coria <[email protected]>

* feat: add support for powerset segmentation models

* wip: trying this PowersetAdapter thing

* fix: initialize nn.Module before setting attribute

* Fix unresolved duration and sample rate

* Apply suggestions from code review

* fix: remove Inference import

* fix: black embedding.py

... though it has nothing to do with this PR...

---------

Co-authored-by: Juan Coria <[email protected]>

* Add ONNX segmentation and embedding models

* Minor readability improvements

* Replace onnxruntime with onnxruntime-gpu

* ONNX can have only one output

* Clean up useless embedding model subclasses

* Remove duration and sample_rate properties from SegmentationModel. Clean up code

* Update README

* Add initial docs

* Include README in docs page

* Improve README

* Update README

* Add docs requirements.txt

* Add readthedocs config file

* Fix links

* Add some docstrings

* Ignore private attrs in docs

* Add some docstrings. Effectively ignore __init__

* Blacken code

* Blacken code with good version

* Clean up some code

* Fix wrong html title

* Add link to accept conditions of segmentation 3.0

* Add table with available models. Add some latencies

* Add more info on selecting different models

* Add missing info on available models

* Improve top menu

* Improve python badge

* Move things around. Simplify code and wording

* Add dark themed logo

* Remove whitespace at the top

* Update README.md

* Rename from_pyannote to from_pretrained in segmentation and embedding blocks

* Separate huggingface links from model name

* Fix reproducibility link

* Add animated diarization pipeline diagram

* Improve pipeline gif

* Update README.md

* Update snippet gif. Fix torch multiprocessing crash with pyannote 3.1. Other README improvements

* Update README.md

* Fix bad link

* Update version. Add reproducibility note

* Add link to pyannote 3.1 interpolation issue in README