3 days ago
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Fill reproduction block (inference, maintainer re-ran the model)
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Add Pellav3 submission for PyAra (EER=0.1277)
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Add Pellav2 submission for PyAra (EER=1.9104) (#70)
- Add Pellav2 submission for PyAra (EER=1.9104) (ea60cef7b6cbcd99bd890a5ebc506c6e06031c77)
- Fill reproduction block (inference, maintainer re-ran the model) (a547b28c50b7c437c1d5102e0d905f0b938ffac2) -
Add Thaki-VoiceSpoof-W2V2-Large submission for PyAra (EER=19.2233) (#69)
- Add Thaki-VoiceSpoof-W2V2-Large submission for PyAra (EER=19.2233) (5e1af551eff547c4b79dd368d183a23446662266)
- Fill reproduction block (inference, maintainer re-ran the model) (bf6eef54739b592973786d9a0a3e1131a7231fff) -
Add tropa-voice-mini submission for PyAra (EER=0.2730) (#68)
- Add tropa-voice-mini submission for PyAra (EER=0.2730) (e1ad7581397695cb670c0211168354914149c0cb)
- Fill reproduction block (inference, maintainer re-ran the model) (2ae5a271f951244a61419ea3e1ca80caeeabc544) -
Add UTCN-XLSR2B-LogReg submission for PyAra (EER=1.1997) (#67)
- Add UTCN-XLSR2B-LogReg submission for PyAra (EER=1.1997) (79efc8a941d7f412b7b4d20a4f8bf894a5a332fd)
- Fill reproduction block (inference, maintainer re-ran the model) (45e8180e6f74fb7131371a08749d42ea9278432e) -
Add WST-Graph-Q82 submission for PyAra (EER=23.3356) (#66)
- Add WST-Graph-Q82 submission for PyAra (EER=23.3356) (e2c8db78e8245e078cf52d25944e3c79108a6876)
- Fill reproduction block (inference, maintainer re-ran the model) (fee3c803b9b8a971277cb34f5d207be5f7760fcc) -
Add RawNetLite submission for PyAra (EER=43.6296) (#65)
- Add RawNetLite submission for PyAra (EER=43.6296) (7dde4cc9860553fd468ada273078395a7a181b8a)
- Fill reproduction block (inference, maintainer re-ran the model) (758747aef3eb6b1892c01478fa07e9b927976df2) -
Add LaST-Net submission for PyAra (EER=7.7056) (#64)
- Add LaST-Net submission for PyAra (EER=7.7056) (b240f8436439f1e53004b55fadacbb41ce9cfa42)
- Fill reproduction block (inference, maintainer re-ran the model) (29883ac5b96cf63bbd693939d0df226af28245b3)
6 days ago
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Add SpoofSUPERB-UniSpeechSAT submission for PyAra (EER=6.4620) (#62)
- Add SpoofSUPERB-UniSpeechSAT submission for PyAra (EER=6.4620) (c419dd050c5ad7fa049dd0ad9401c317d62a7473)
- Fill reproduction block (inference, maintainer re-ran the model) (3309794a6f1a29e5cf43a125b39ec48ff6c08d4a) -
Add SpoofSUPERB-XLSR submission for PyAra (EER=6.4230) (#61)
- Add SpoofSUPERB-XLSR submission for PyAra (EER=6.4230) (36727f7009acfcb7c9cba7b9dd73ea1b4b695b7c)
- Fill reproduction block (inference, maintainer re-ran the model) (6acc3e9ebd92e4c9c6a35162048a07ba02b0687a) -
Add DeepFense-CodecFake-W2V2-MLP submission for PyAra (EER=10.8702) (#60)
- Add DeepFense-CodecFake-W2V2-MLP submission for PyAra (EER=10.8702) (58b75d8adc05fa038efcf1fd39fb424717efa894)
- Fill reproduction block (inference, maintainer re-ran the model) (74aa8b1efc15207ec96948b134658ab9956db9bb) -
Add WeDefense-W2V2-Large-MHFA submission for PyAra (EER=9.6049) (#59)
- Add WeDefense-W2V2-Large-MHFA submission for PyAra (EER=9.6049) (adf6d4817049def48344f3ebdad89805dae0018c)
- Fill reproduction block (inference, maintainer re-ran the model) (9c1e384a708d86714faf468325c6bf72beb0a520) -
Add ProSDD-ASV5 submission for PyAra (EER=21.7473) (#58)
- Add ProSDD-ASV5 submission for PyAra (EER=21.7473) (b3ef93bece59136ca3889c0c8537fb69830c8420)
- Fill reproduction block (inference, maintainer re-ran the model) (e6c8f3a395abcb4fb0a4271f673d8fd2167c6ef1) -
Add ProSDD-ASV19 submission for PyAra (EER=16.6707) (#57)
- Add ProSDD-ASV19 submission for PyAra (EER=16.6707) (6ef7ac34e05f207b87c2784b63817486e1a7ffb0)
- Fill reproduction block (inference, maintainer re-ran the model) (ea655ffbb120ff21c00e1136e6a39340f014258f) -
Add WeDefense-WavLM-Base-Pruned submission for PyAra (EER=12.4794) (#56)
- Add WeDefense-WavLM-Base-Pruned submission for PyAra (EER=12.4794) (d4054b9bd531525a271f7324cc0c044d1b42ebb5)
- Fill reproduction block (inference, maintainer re-ran the model) (ba16d00c2b568e37ef0ba77460f2ab8584a5f1ed) -
Add Nes2Net-X-CtrSVDD submission for PyAra (EER=5.4253) (#55)
- Add Nes2Net-X-CtrSVDD submission for PyAra (EER=5.4253) (9e6efefb90685a1c27ccdaf93a591a1d6c7dddc0)
- Fill reproduction block (inference, maintainer re-ran the model) (02f4276874be2f9a046a412539742153b30fd2f1) -
Add XLSR-Nes2Net-LA submission for PyAra (EER=2.9463) (#54)
- Add XLSR-Nes2Net-LA submission for PyAra (EER=2.9463) (f3b95837183ed72a52494d24ea8bca350f9ae790)
- Fill reproduction block (inference, maintainer re-ran the model) (e15074fbb3c4a24f49ccd3237ae2d3f268136639) -
Add Forensics-WavLM-OCSoftmax submission for PyAra (EER=0.3502) (#53)
- Add Forensics-WavLM-OCSoftmax submission for PyAra (EER=0.3502) (4a35ae1827ae0e52b04997e56e8058b0db10dff3)
- Fill reproduction block (inference, maintainer re-ran the model) (68413d6fb7b711d101a549d9cd695fbe6658dd16) -
Add Forensics-WavLM-Base submission for PyAra (EER=0.1631) (#52)
- Add Forensics-WavLM-Base submission for PyAra (EER=0.1631) (bcecdbabe1f0887f7b34a78546c5c7cee704d47c)
- Fill reproduction block (inference, maintainer re-ran the model) (d698f363f87f5c18635b5ba65a16fb8b8fa2d7e1)
9 days ago
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Add HoliAntiSpoof submission for PyAra (EER=2.5453) (#51)
- Add HoliAntiSpoof submission for PyAra (EER=2.5453) (afb1a16fb883c9871490678060fe8807208bd63f)
- Fill reproduction block (inference, maintainer re-ran the model) (9e301a20f4cbaa6c58541a49b86bcd03489b4817)
11 days ago
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Add Vocoded-VoxCeleb2-SSL-P3 submission for PyAra (EER=14.2564) (#50)
- Add Vocoded-VoxCeleb2-SSL-P3 submission for PyAra (EER=14.2564) (8e3758ba3338a2bee20d45d7b2fc2376832cf8d8)
- Fill reproduction block (inference, maintainer re-ran the model) (045e66d8b0ea66e061d0b67f96558bf7882d5c14) -
Add Vocoded-VoxCeleb2-SSL-P2 submission for PyAra (EER=14.5911) (#49)
- Add Vocoded-VoxCeleb2-SSL-P2 submission for PyAra (EER=14.5911) (1d4842867130ec1044b4111699c47d6f43c5100f)
- Fill reproduction block (inference, maintainer re-ran the model) (a8b79e39db6e17368700d105e0b78cdd3ce86406) -
Add Vocoded-VoxCeleb2-SSL-P1 submission for PyAra (EER=17.4164) (#48)
- Add Vocoded-VoxCeleb2-SSL-P1 submission for PyAra (EER=17.4164) (1f351b71a2a59b69cd94a02331e3d1b104544433)
- Fill reproduction block (inference, maintainer re-ran the model) (71db48c8962cdf2bb44f2919fbbaea34d609949e)
12 days ago
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Add Codecfake-W2V2-AASIST-Codec submission for PyAra (EER=2.4195) (#47)
- Add Codecfake-W2V2-AASIST-Codec submission for PyAra (EER=2.4195) (ccf23a60156c37b5fcb4114e6a5d8246e6ef2a5b)
- Fill reproduction block (inference, maintainer re-ran the model) (6aad9168ea3bc07758dee1372b8b2b1ea7323597) -
Add Codecfake-W2V2-AASIST-CoTrain submission for PyAra (EER=1.5058) (#46)
- Add Codecfake-W2V2-AASIST-CoTrain submission for PyAra (EER=1.5058) (0c149a4c73b06b8e5581d1de855f07d5df67c76d)
- Fill reproduction block (inference, maintainer re-ran the model) (b86e4b0fa2b1972cef8d440d3c2ee3458880ed1d) -
Add SSL-Mamba submission for PyAra (EER=5.5291) (#45)
- Add SSL-Mamba submission for PyAra (EER=5.5291) (02a94f80c2c2502f2589c0aa96c56758eefb1bb5)
- Fill reproduction block (inference, maintainer re-ran the model) (114cddf1fad3b5f818436106945490bce1c5645c) -
Add XLSR-Conformer-TCM-DF submission for PyAra (EER=8.2905) (#44)
- Add XLSR-Conformer-TCM-DF submission for PyAra (EER=8.2905) (691e05d57fb48d8d114dcd1d3eb430bf931dc88c)
- Fill reproduction block (inference, maintainer re-ran the model) (ec4ef92ea7e8e91b1730a2e26149f18bb053c7f6) -
Add Forensics-XLSR-Wild submission for PyAra (EER=0.1779) (#43)
- Add Forensics-XLSR-Wild submission for PyAra (EER=0.1779) (219eb93f4579545ca5017b99996a3c22e0987d51)
- Fill reproduction block (inference, maintainer re-ran the model) (ee2214c359de8dfcde28d81f1244cb3b0b54901e)
15 days ago
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Add XLSR-Mamba-DF submission for PyAra (EER=8.9044) (#42)
- Add XLSR-Mamba-DF submission for PyAra (EER=8.9044) (4d02c6068bf8988453129c658a39d17095eb74d6)
- Fill reproduction block (inference, maintainer re-ran the model) (21e6d882f3bbebc0da9da63c0cbfa416e88d543c) -
Add DPDA-GA-Mamba submission for PyAra (EER=6.1227) (#41)
- Add DPDA-GA-Mamba submission for PyAra (EER=6.1227) (6308d3b25bf63d81f3404d032b889fd15bcc36bc)
- Fill reproduction block (inference, maintainer re-ran the model) (e32ccfe72886f533a04bebe898837505537f0949) -
Add DPDA-GA-TCM submission for PyAra (EER=6.5978) (#40)
- Add DPDA-GA-TCM submission for PyAra (EER=6.5978) (85e084d2a1810487e1ddcfaef3a92b6bda63fb35)
- Fill reproduction block (inference, maintainer re-ran the model) (22489132c273a990b35379262cab340a04832e8b) -
Add Fake-Mamba submission for PyAra (EER=3.7957) (#39)
- Add Fake-Mamba submission for PyAra (EER=3.7957) (f50e0d9d1e9a1abeee36cf8e99f20471c1c32204)
- Fill reproduction block (inference, maintainer re-ran the model) (9d9767c5873dfb2bb7aa5be5587c50370644b9cf) -
Add XLSR-Mamba-LA submission for PyAra (EER=4.1844) (#38)
- Add XLSR-Mamba-LA submission for PyAra (EER=4.1844) (a319f8810dfef2f7b658addd34fd432123f2dd9a)
- Fill reproduction block (inference, maintainer re-ran the model) (0db1278bde85f231d15ca1da3a43020878dfbb59) -
Add DPDA-GA-AASIST submission for PyAra (EER=4.6315) (#37)
- Add DPDA-GA-AASIST submission for PyAra (EER=4.6315) (d6c005e46910a234a32dcb2f54d09468a872024e)
- Fill reproduction block (inference, maintainer re-ran the model) (70e2729d98e5e155aa6c82ae5bb943c7e56870d8)
16 days ago
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Tidy submissions: ★ inference (maintainers re-ran these models), one params value per model, drop unverified duplicate files
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Add XLSR-MamBo submission for PyAra (EER=4.0050) (#36)
- Add XLSR-MamBo submission for PyAra (EER=4.0050) (73458e02afaece31060799caea7aae3fc3109628)
- Fill reproduction block (inference, maintainer re-ran the model) (9e1f96767dd436948f82577cf5999a40f18dfa8c)
17 days ago
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Add SONAR-Full submission for PyAra (EER=4.1885) (#35)
- Add SONAR-Full submission for PyAra (EER=4.1885) (d14c63ca356a0fe84dc6b4b458ec6d94c8434956)
- Fill reproduction block (scoring, maintainer-verified) (e1a3efda097c348677c97b44d5048d51a226dd5d)
18 days ago
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Add M1 submission (#34)
korallll +1: mbocanu
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Add RawBMamba submission for PyAra (EER=15.192367802345649) (#33)
- Add RawBMamba submission for PyAra (EER=15.192367802345649) (3caf46fd72bc039ffa0b93db6b354c8be9b15af4)
- Fill reproduction block (scoring) (bc6943c68eef5355e5f444c84d2c6d4e802a9973)
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Add AMSDF submission for PyAra (EER=19.238139244118887) (#32)
- Add AMSDF submission for PyAra (EER=19.238139244118887) (1307f50c22d4117fe829682da0fb76095560dced)
- Fill reproduction block (scoring) (1da6d6da8e186fbb206c4e74b8707b33e9a64bfa)
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Add SSL Feature Gating submission for PyAra (EER=6.152346035336791) (#31)
- Add SSL Feature Gating submission for PyAra (EER=6.152346035336791) (d79ea13177a19a16bbce882037044c52ec34a854)
- Fill reproduction block (scoring) (1f2e3c22304e2983491cf22bf2300135fe7fd1a2) -
Add CLAD submission for PyAra (EER=26.69985945722161) (#30)
- Add CLAD submission for PyAra (EER=26.69985945722161) (360a22985187c3b3e6dcff2daceb6143462325bc)
- Fill reproduction block (scoring) (16c2de481f804d48fbb434541a535825dd9daa74)
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Add DF Arena 500M submission (eer=15.9593%, scoring-verified)
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Add DF Arena 1B submission (eer=4.1889%, scoring-verified)
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Add maintainer contact: email + Telegram channel
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Deprecate old contact email; add kborodin.research@gmail.com
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Add Spectra-AASIST3 submission for PyAra (#28)
- Add Spectra-AASIST3 submission for PyAra (a1c12cdb749366fe130f6c871854a05f63b036d7) -
Add Spectra-AASIST submission for PyAra (#27)
- Add Spectra-AASIST submission for PyAra (02fa14cdc69cd9022802198359cb322fe718e7c3) -
Add Spectra-0 submission for PyAra (#26)
- Add Spectra-0 submission for PyAra (160f6d0df55aaf0eb4e01b646e3ff8da72d75c50)
