h- "SSKrSSKJr SSKJrJrJr SSKJr SSK J r SSK J r SSK JrJr SrS /S Q/S QS .S SSS.S.rSrSrS\4SjrS\S\S\S\\4SjrS\S\4SjrS\S\4Sjr"SS\ 5r"S S!\5r"S"S#\5rg)$N)Path)ListTupleUnion)Tensor)Dataset)download_url_to_file) _extract_zip_load_waveformi>zvox1_dev_wav.zip)zIhttps://thor.robots.ox.ac.uk/~vgg/data/voxceleb/vox1a/vox1_dev_wav_partaazIhttps://thor.robots.ox.ac.uk/~vgg/data/voxceleb/vox1a/vox1_dev_wav_partabzIhttps://thor.robots.ox.ac.uk/~vgg/data/voxceleb/vox1a/vox1_dev_wav_partaczIhttps://thor.robots.ox.ac.uk/~vgg/data/voxceleb/vox1a/vox1_dev_wav_partad)@21ec6ca843659ebc2fdbe04b530baa4f191ad4b0971912672d92c158f32226a0@311d21e0c8cbf33573a4fce6c80e5a279d80736274b381c394319fc557159a04@92b64465f2b2a3dc0e4196ae8dd6828cbe9ddd1f089419a11e4cbfe2e1750df0@00e6190c770b27f27d2a3dd26ee15596b17066b715ac111906861a7d09a211a5) archive_nameurls checksumszvox1_test_wav.zipzGhttps://thor.robots.ox.ac.uk/~vgg/data/voxceleb/vox1a/vox1_test_wav.zip@8de57f347fe22b2c24526e9f444f689ecf5096fc2a92018cf420ff6b5b15eaea)rurlchecksumdevtestzBhttps://www.robots.ox.ac.uk/~vgg/data/voxceleb/meta/iden_split.txtzAhttps://www.robots.ox.ac.uk/~vgg/data/voxceleb/meta/veri_test.txtrootc SGHn[USn[RRX5nUS:Xa[USn[USn[ US5n[ XE5Hupx[RRU[RR U55n [XyUS9 [ U S5n URU R55 SSS5 M SSS5 O"[US n[US n[XsUS9 [U5 GM" g!,(df  M=f!,(df  N1=f) Nrrrrrwb) hash_prefixrbrr) _ARCHIVE_CONFIGSospathjoinopenzipbasenamer writereadr ) rarchiver archive_pathrrfrr file_pathf_splits U/var/www/auris/envauris/lib/python3.13/site-packages/torchaudio/datasets/voxceleb1.py_download_extract_wavsr-&s"'0@ ww||D7  e #G,V4D(1+>IlD)Q%(%9MC " T2773C3CC3H II(XNi.' //.&:*)#7+E2C'0<sz F  5 i Dzz|HB2w% d#  &>  s%A4 A44 Bveri_test_pathc/n[US5nUH)nUR5upVnURXVU45 M+ SSS5 U$!,(df  U$=f)Nr5)r"r6r8)rr?r:r)r<labelpath1path2s r,_get_paired_flistrDLsZ F nc "aD"&**, E% MM5/ 0 # M # " Ms 0A  A _ext_audioc~URS5SSup#nURUS5nSRX#U/5nU$)N/-)r6replacer!)r*rE speaker_id youtube_id utterance_idfile_ids r, _get_file_idrPUsF+4??3+?+D(JL'' B7Lhh =>G Ncj\rSrSrSrSrSS\\\4S\ SS4Sjjr S \ 4S jr S \ 4S jr S\ 4S jrS rg) VoxCeleb1\a*VoxCeleb1* :cite:`nagrani2017voxceleb` dataset. Args: root (str or Path): Path to the directory where the dataset is found or downloaded. download (bool, optional): Whether to download the dataset if it is not found at root path. (Default: ``False``). z.wavrdownloadr/Nc.[R"U5n[RRUS5Ul[RR UR5(d,U(d[ SURS35e[U5 gg)NwavzDataset not found at z5. Please set `download=True` to download the dataset.)rfspathr r!_pathisdir RuntimeErrorr-)selfrrUs r,__init__VoxCeleb1.__init__gslyyWW\\$. ww}}TZZ(("+DJJ<7lm #4 ( )rQnc[eNNotImplementedErrorr\r_s r, get_metadataVoxCeleb1.get_metadatar!!rQc[erarbrds r, __getitem__VoxCeleb1.__getitem__urgrQc[erarbr\s r,__len__VoxCeleb1.__len__xrgrQ)rY)F)__name__ __module__ __qualname____firstlineno____doc__rErstrrboolr]r7rerirm__static_attributes__rQr,rSrS\sUJ )U39- ) )$ )"c""S"""rQrSc ^\rSrSrSrS\S4S\\\4S\S\S\ S S 4 U4S jjjr S \ S \ \\ \ \44S jr S \ S \ \\ \ \44SjrS \ 4SjrSrU=r$)VoxCeleb1Identification|u*VoxCeleb1* :cite:`nagrani2017voxceleb` dataset for speaker identification task. Each data sample contains the waveform, sample rate, speaker id, and the file id. Args: root (str or Path): Path to the directory where the dataset is found or downloaded. subset (str, optional): Subset of the dataset to use. Options: ["train", "dev", "test"]. (Default: ``"train"``) meta_url (str, optional): The url of meta file that contains the list of subset labels and file paths. The format of each row is ``subset file_path". For example: ``1 id10006/nLEBBc9oIFs/00003.wav``. ``1``, ``2``, ``3`` mean ``train``, ``dev``, and ``test`` subest, respectively. (Default: ``"https://www.robots.ox.ac.uk/~vgg/data/voxceleb/meta/iden_split.txt"``) download (bool, optional): Whether to download the dataset if it is not found at root path. (Default: ``False``). Note: The file structure of `VoxCeleb1Identification` dataset is as follows: └─ root/ └─ wav/ └─ speaker_id folders Users who pre-downloaded the ``"vox1_dev_wav.zip"`` and ``"vox1_test_wav.zip"`` files need to move the extracted files into the same ``root`` directory. r1Frr.meta_urlrUr/NcT>[TU]X5 US;a [S5e[RR U[RR U55n[RRU5(d [X55 [URXR5Ul g)N)r1rrz0`subset` must be one of ['train', 'dev', 'test']) superr] ValueErrorrr r!r$existsr r>rY_flist)r\rr.r{rUmeta_list_path __class__s r,r] VoxCeleb1Identification.__init__sw ( 1 1OP PdBGG,<,&?;2*S*U63S+@%A*,   rQryc ^\rSrSrSr\S4S\\\4S\S\ SS4U4S jjjr S \ S\ \\\ \ \\44S jr S \ S\ \\\ \ \\44S jrS\ 4S jrSrU=r$)VoxCeleb1Verificationu*VoxCeleb1* :cite:`nagrani2017voxceleb` dataset for speaker verification task. Each data sample contains a pair of waveforms, sample rate, the label indicating if they are from the same speaker, and the file ids. Args: root (str or Path): Path to the directory where the dataset is found or downloaded. meta_url (str, optional): The url of meta file that contains a list of utterance pairs and the corresponding labels. The format of each row is ``label file_path1 file_path2". For example: ``1 id10270/x6uYqmx31kE/00001.wav id10270/8jEAjG6SegY/00008.wav``. ``1`` means the two utterances are from the same speaker, ``0`` means not. (Default: ``"https://www.robots.ox.ac.uk/~vgg/data/voxceleb/meta/veri_test.txt"``) download (bool, optional): Whether to download the dataset if it is not found at root path. (Default: ``False``). Note: The file structure of `VoxCeleb1Verification` dataset is as follows: └─ root/ └─ wav/ └─ speaker_id folders Users who pre-downloaded the ``"vox1_dev_wav.zip"`` and ``"vox1_test_wav.zip"`` files need to move the extracted files into the same ``root`` directory. Frr{rUr/Nc2>[TU]X5 [RR U[RR U55n[RR U5(d [X$5 [URU5Ul gra) r}r]rr r!r$rr rDrYr)r\rr{rUrrs r,r]VoxCeleb1Verification.__init__s` (dBGG,<,rDrPrSryrrwrQr,rs %%$5B +    ,XV !,WT##, S S # $s)  CCS""@X iX v^ I^ rQ