o 8wÖixã@s ddlmZGdd„deƒZdS)é)ÚSegmentationProtocolc@seZdZdZdS)ÚSpeakerDiarizationProtocolaLA protocol for speaker diarization experiments A speaker diarization protocol can be defined programmatically by creating a class that inherits from SpeakerDiarizationProtocol and implements at least one of `train_iter`, `development_iter` and `test_iter` methods: >>> class MySpeakerDiarizationProtocol(SpeakerDiarizationProtocol): ... def train_iter(self) -> Iterator[Dict]: ... yield {"uri": "filename1", ... "annotation": Annotation(...), ... "annotated": Timeline(...)} ... yield {"uri": "filename2", ... "annotation": Annotation(...), ... "annotated": Timeline(...)} `{subset}_iter` should return an iterator of dictionnaries with - "uri" key (mandatory) that provides a unique file identifier (usually the filename), - "annotation" key (mandatory for train and development subsets) that provides reference speaker diarization as a `pyannote.core.Annotation` instance, - "annotated" key (recommended) that describes which part of the file has been annotated, as a `pyannote.core.Timeline` instance. Any part of "annotation" that lives outside of the provided "annotated" will be removed. This is also used by `pyannote.metrics` to remove un-annotated regions from its evaluation report, and by `pyannote.audio` to not consider empty un-annotated regions as non-speech. - any other key that the protocol may provide. It can then be used in Python like this: >>> protocol = MySpeakerDiarizationProtocol() >>> for file in protocol.train(): ... print(file["uri"]) filename1 filename2 A speaker diarization protocol can also be defined using `pyannote.database` configuration file, whose (configurable) path defaults to "~/database.yml". ~~~ Content of ~/database.yml ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Protocols: MyDatabase: SpeakerDiarization: MyProtocol: train: uri: /path/to/collection.lst annotation: /path/to/reference.rttm annotated: /path/to/reference.uem any_other_key: ... # see custom loader documentation ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ where "/path/to/collection.lst" contains the list of identifiers of the files in the collection: ~~~ Content of "/path/to/collection.lst ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ filename1 filename2 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ "/path/to/reference.rttm" contains the reference speaker diarization using RTTM format: ~~~ Content of "/path/to/reference.rttm ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ SPEAKER filename1 1 3.168 0.800 speaker_A SPEAKER filename1 1 5.463 0.640 speaker_A SPEAKER filename1 1 5.496 0.574 speaker_B SPEAKER filename1 1 10.454 0.499 speaker_B SPEAKER filename2 1 2.977 0.391 speaker_C SPEAKER filename2 1 18.705 0.964 speaker_C SPEAKER filename2 1 22.269 0.457 speaker_A SPEAKER filename2 1 28.474 1.526 speaker_A ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ "/path/to/reference.uem" describes the annotated regions using UEM format: ~~~ Content of "/path/to/reference.uem ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ filename1 NA 0.000 30.000 filename2 NA 0.000 30.000 filename2 NA 40.000 70.000 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ It can then be used in Python like this: >>> from pyannote.database import registry >>> protocol = registry.get_protocol('MyDatabase.SpeakerDiarization.MyProtocol') >>> for file in protocol.train(): ... print(file["uri"]) filename1 filename2 N)Ú__name__Ú __module__Ú __qualname__Ú__doc__©rrúk/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/pyannote/database/protocol/speaker_diarization.pyrs]rN)Ú segmentationrrrrrr Ús