i7!&ddlmZGddeZy))ProtocolceZdZdZdZdZdZdZdZdZ dZ d Z d Z d Z dd Zdd ZddZdZddZddZdZddZddZdZy)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'}) ctd)Nz@Custom speaker recognition protocol should implement "trn_iter".NotImplementedErrorselfs /Volumes/fast/ai/experiments/voice-extract-mac/.venv/lib/python3.12/site-packages/pyannote/database/protocol/speaker_recognition.pytrn_iterz#SpeakerRecognitionProtocol.trn_iter-! Q  ctd)NzGCustom speaker recognition protocol should implement "trn_enroll_iter".rr s r trn_enroll_iterz*SpeakerRecognitionProtocol.trn_enroll_iter2! X  rctd)NzECustom speaker recognition protocol should implement "trn_test_iter".rr s r trn_test_iterz(SpeakerRecognitionProtocol.trn_test_iter7! V  rctd)Nz@Custom speaker recognition protocol should implement "trn_keys".rr s r trn_keysz#SpeakerRecognitionProtocol.trn_keys<r rctd)NzGCustom speaker recognition protocol should implement "dev_enroll_iter".rr s r dev_enroll_iterz*SpeakerRecognitionProtocol.dev_enroll_iterArrctd)NzECustom speaker recognition protocol should implement "dev_test_iter".rr s r dev_test_iterz(SpeakerRecognitionProtocol.dev_test_iterFrrctd)Nz@Custom speaker recognition protocol should implement "dev_keys".rr s r dev_keysz#SpeakerRecognitionProtocol.dev_keysKr rctd)NzGCustom speaker recognition protocol should implement "tst_enroll_iter".rr s r tst_enroll_iterz*SpeakerRecognitionProtocol.tst_enroll_iterPrrctd)NzECustom speaker recognition protocol should implement "tst_test_iter".rr s r tst_test_iterz(SpeakerRecognitionProtocol.tst_test_iterUrrctd)Nz?Custom speaker recognition protocol should implement tst_keys".rr s r tst_keysz#SpeakerRecognitionProtocol.tst_keysZs! P  rc#K|j}|D]0\}}|r||j|f|j|2yw)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 generatornameitems r trainz SpeakerRecognitionProtocol.train_sG0MMO #JD$DOOD111ood++ $AA c#K|j}|D]0\}}|r||j|f|j|2yw)aIterate over the training set enrollments This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.train_enroll(): ... uri = item['uri'] ... channel = item['channel'] N)rr$r%s r train_enrollz'SpeakerRecognitionProtocol.train_enrollJ*((* #JD$DOOD111ood++ $r+c#K|j}|D]0\}}|r||j|f|j|2yw)aIterate over the training set tests This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.train_test(): ... uri = item['uri'] ... channel = item['channel'] N)rr$r%s r train_testz%SpeakerRecognitionProtocol.train_testJ*&&( #JD$DOOD111ood++ $r+c"|jSN)rr s r train_keysz%SpeakerRecognitionProtocol.train_keys}}rc#K|j}|D]0\}}|r||j|f|j|2yw)aIterate over the development set enrollments This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.development_enroll(): ... uri = item['uri'] ... channel = item['channel'] N)rr$r%s r development_enrollz-SpeakerRecognitionProtocol.development_enrollr.r+c#K|j}|D]0\}}|r||j|f|j|2yw)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)rr$r%s r development_testz+SpeakerRecognitionProtocol.development_testr1r+c"|jSr3)rr s r development_keysz+SpeakerRecognitionProtocol.development_keysr5rc#K|j}|D]0\}}|r||j|f|j|2yw)aIterate over the test set targets This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use * speaker: str unique speaker identifier as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.test_enroll(): ... uri = item['uri'] ... channel = item['channel'] ... speaker = item['speaker'] N)rr$r%s r test_enrollz&SpeakerRecognitionProtocol.test_enrollsJ0((* #JD$DOOD111ood++ $r+c#K|j}|D]0\}}|r||j|f|j|2yw)aIterate over the test set tests This will yield dictionaries with the followings keys: * database: str unique database identifier * uri: str uniform (or unique) resource identifier * channel: int index of resource channel to use as well as keys coming from the provided preprocessors. Usage ----- >>> for item in protocol.test_test(): ... uri = item['uri'] ... channel = item['channel'] N)r r$r%s r test_testz$SpeakerRecognitionProtocol.test_testr1r+c"|jSr3)r"r s r test_keysz$SpeakerRecognitionProtocol.test_keys6r5rN)F)T)__name__ __module__ __qualname____doc__r rrrrrrrr r"r*r-r0r4r7r9r;r=r?rArr rr!sm           ,@,:,:,:,:,@,:rrN)protocolrrrFrr rHs<VVr