o pi@sHddlmZmZddlmZddlmZddlmZGdddeZdS) )DictIterator)SpeakerDiarizationProtocol)Subset)LEGACY_SUBSET_MAPPINGc@seZdZdZdedeefddZdeefddZdeefdd Z deefd d Z deefd d Z deefddZ deefddZ dS)SpeakerVerificationProtocolaA protocol for speaker verification experiments A speaker verification protocol can be defined programmatically by creating a class that inherits from `SpeakerVerificationProtocol` and implement at least one of `train_trial_iter`, `development_trial_iter` and `test_trial_iter` methods: >>> class MySpeakerVerificationProtocol(SpeakerVerificationProtocol): ... def train_trial_iter(self) -> Iterator[Dict]: ... yield {"reference": 0, ... "file1": { ... "uri":"filename1", ... "try_with":Timeline(...) ... }, ... "file2": { ... "uri":"filename3", ... "try_with":Timeline(...) ... }, ... } `{subset}_trial_iter` should return an iterator of dictionnaries with - `reference` key (mandatory) that provides an int portraying whether `file1` and `file2` are uttered by the same speaker (1 is same, 0 is different), - `file1` key (mandatory) that provides the first file, - `file2` key (mandatory) that provides the second file. Both `file1` and `file2` should be provided as dictionaries or ProtocolFile instances with - `uri` key (mandatory), - `try_with` key (mandatory) that describes which part of the file should be used in the validation process, as a `pyannote.core.Timeline` instance. - any other key that the protocol may provide. It can then be used in Python like this: >>> protocol = MySpeakerVerificationProtocol() ... for trial in protocol.train_trial(): ... print(f"{trial['reference']} {trial['file1']['uri']} {trial['file2']['uri']}") 1 filename1 filename2 0 filename1 filename3 A speaker verification protocol can also be defined using `pyannote.database` configuration file, whose (configurable) path defaults to "~/database.yml". ~~~ Content of ~/database.yml ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Protocols: MyDatabase: SpeakerVerification: MyProtocol: train: uri: /path/to/train.lst duration: /path/to/duration.map trial: /path/to/trial.txt ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ where `/path/to/train.lst` contains the list of identifiers of the files in the collection: ~~~ Content of /path/to/train.lst~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ filename1 filename2 filename3 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ `/path/to/duration.map` contains the duration of the files: ~~~ Content of /path/to/duration.map ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ filename1 30.000 filename2 30.000 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ `/path/to/trial.txt` contains a list of trials : ~~~ Content of /path/to/trial ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1 filename1 filename2 0 filename1 filename3 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ `1` stands for _target_ trials and `0` for _non-target_ trials. In the example below, it means that the same speaker uttered files `filename1` and `filename2` and that `filename1` and `filename3` are from two different speakers. It can then be used in Python like this: >>> from pyannote.database import registry >>> protocol = registry.get_protocol('MyDatabase.SpeakerVerification.MyProtocol') >>> for trial in protocol.train_trial(): ... print(f"{trial['reference']} {trial['file1']['uri']} {trial['file2']['uri']}") 1 filename1 filename2 0 filename1 filename3 Note that speaker verification protocols (`SpeakerVerificationProtocol`) are a subclass of speaker diarization protocols (`SpeakerDiarizationProtocol`). As such, they also define regular `{subset}` methods. subsetreturnc csz t||d}Wn+ttfy7t|}z t||d}Wnty4|d}t|wYnw|D]}||d|d<||d|d<|Vq:dS)N _trial_iter _try_iterz_trial_iter is not implemented.file1file2)getattrAttributeErrorNotImplementedErrorr preprocess)selfr trials subset_legacymsgtrialrc/home/ubuntu/.local/lib/python3.10/site-packages/pyannote/database/protocol/speaker_verification.pysubset_trial_helpers$   z/SpeakerVerificationProtocol.subset_trial_helpercCt)z'Iterate over trials in the train subsetrrrrrtrain_trial_iterz,SpeakerVerificationProtocol.train_trial_itercCr)z-Iterate over trials in the development subsetrrrrrdevelopment_trial_iterrz2SpeakerVerificationProtocol.development_trial_itercCr)z&Iterate over trials in the test subsetrrrrrtest_trial_iterrz+SpeakerVerificationProtocol.test_trial_itercC |dS)Ntrainrrrrr train_trial z'SpeakerVerificationProtocol.train_trialcCr")N developmentr$rrrrdevelopment_trialr&z-SpeakerVerificationProtocol.development_trialcCr")Ntestr$rrrr test_trialr&z&SpeakerVerificationProtocol.test_trialN)__name__ __module__ __qualname____doc__rrrrrr r!r%r(r*rrrrr$sdrN) typingrrspeaker_diarizationrprotocolrrrrrrrs