o pi7!@s ddlmZGdddeZdS))Protocolc@seZdZdZddZddZddZdd Zd d Zd d Z ddZ ddZ ddZ ddZ d-ddZd.ddZd.ddZddZd.d d!Zd.d"d#Zd$d%Zd.d&d'Zd.d(d)Zd*d+Zd,S)/SpeakerRecognitionProtocolaSpeaker recognition protocol Parameters ---------- preprocessors : dict or (key, preprocessor) iterable When provided, each protocol item (dictionary) are preprocessed, such that item[key] = preprocessor(item). In case 'preprocessor' is not callable, it should be a string containing placeholder for item keys (e.g. {'wav': '/path/to/{uri}.wav'}) cCtd)Nz@Custom speaker recognition protocol should implement "trn_iter".NotImplementedErrorselfr b/home/ubuntu/.local/lib/python3.10/site-packages/pyannote/database/protocol/speaker_recognition.pytrn_iter-z#SpeakerRecognitionProtocol.trn_itercCr)NzGCustom speaker recognition protocol should implement "trn_enroll_iter".rrr r r trn_enroll_iter2r z*SpeakerRecognitionProtocol.trn_enroll_itercCr)NzECustom speaker recognition protocol should implement "trn_test_iter".rrr r r trn_test_iter7r z(SpeakerRecognitionProtocol.trn_test_itercCr)Nz@Custom speaker recognition protocol should implement "trn_keys".rrr r r trn_keys<r z#SpeakerRecognitionProtocol.trn_keyscCr)NzGCustom speaker recognition protocol should implement "dev_enroll_iter".rrr r r dev_enroll_iterAr z*SpeakerRecognitionProtocol.dev_enroll_itercCr)NzECustom speaker recognition protocol should implement "dev_test_iter".rrr r r dev_test_iterFr z(SpeakerRecognitionProtocol.dev_test_itercCr)Nz@Custom speaker recognition protocol should implement "dev_keys".rrr r r dev_keysKr z#SpeakerRecognitionProtocol.dev_keyscCr)NzGCustom speaker recognition protocol should implement "tst_enroll_iter".rrr r r tst_enroll_iterPr z*SpeakerRecognitionProtocol.tst_enroll_itercCr)NzECustom speaker recognition protocol should implement "tst_test_iter".rrr r r tst_test_iterUr z(SpeakerRecognitionProtocol.tst_test_itercCr)Nz?Custom speaker recognition protocol should implement tst_keys".rrr r r tst_keysZr z#SpeakerRecognitionProtocol.tst_keysFcc>|}|D]\}}|r|||fVq||VqdS)aIterate over the training set This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str unique recording identifier * channel: int index of resource channel to use * speaker: str unique speaker identifier as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.train(): ... uri = item['uri'] ... channel = item['channel'] ... speaker = item['speaker'] N)r preprocessr yield_name generatornameitemr r r train_ z SpeakerRecognitionProtocol.trainTccr)aIterate over the training set enrollments This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.train_enroll(): ... uri = item['uri'] ... channel = item['channel'] N)r rrr r r train_enroll z'SpeakerRecognitionProtocol.train_enrollccr)aIterate over the training set tests This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.train_test(): ... uri = item['uri'] ... channel = item['channel'] N)rrrr r r train_testr z%SpeakerRecognitionProtocol.train_testcC|SN)rrr r r train_keysz%SpeakerRecognitionProtocol.train_keysccr)aIterate over the development set enrollments This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.development_enroll(): ... uri = item['uri'] ... channel = item['channel'] N)rrrr r r development_enrollr z-SpeakerRecognitionProtocol.development_enrollccr)aIterate over the development set tests This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.development_test(): ... uri = item['uri'] ... channel = item['channel'] N)rrrr r r development_testr z+SpeakerRecognitionProtocol.development_testcCr"r#)rrr r r development_keysr%z+SpeakerRecognitionProtocol.development_keysccr)aIterate over the test set targets This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use * speaker: str unique speaker identifier as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.test_enroll(): ... uri = item['uri'] ... channel = item['channel'] ... speaker = item['speaker'] N)rrrr r r test_enrollrz&SpeakerRecognitionProtocol.test_enrollccr)aIterate over the test set tests This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.test_test(): ... uri = item['uri'] ... channel = item['channel'] N)rrrr r r test_testr z$SpeakerRecognitionProtocol.test_testcCr"r#)rrr r r test_keys6r%z$SpeakerRecognitionProtocol.test_keysN)F)T)__name__ __module__ __qualname____doc__r r rrrrrrrrrrr!r$r&r'r(r)r*r+r r r r r!s,       rN)protocolrrr r r r s