Tàqale RNN bu am ñaari yoon
Dual-Path RNN (DPRNN) architecture la buy tàqale ay audio, di xaaj ay man-mani audio yu gudd lool ci ay pàcc yu gàtt yuy jaxasoo, ba noppi di leen jëfandikoo ci ñaari yoon yuy wuutale, suko defee reso yuy baaxoo mëna modele ay detay yu bari ak structure global.
Résumé
It matters because it made high-quality separation of long recordings practical.
Plongeur bu xóot
Reseau yiy baamtu dañuy xeex ak toppu-topp yu gudd lool, te audio domen time-time ci sampling rate yu yéeg dafay defar toppu-topp yu am fukki junni jéego. DPRNN (2020, Luo, Chen, Yoshioka) dafay saafara jafe-jafe yii ci soppi jëmmu màndarga yi ci griy 2D bu ay pàcc yuy jaxasoo. Ginaaw loolu mu wuutale ñaari paas RNN: benn RNN bu nekk ci biir chunk dafay wane diir bu gàtt, motif yu bërëb yi ci biir chunk bu nekk, ak RNN bu nekk ci biir chunk dafay wane dependence yu yàgg ci chunk yi. Stacking yu bari ci yii blok ñaari-yoon may model bi mu jàpp contexte biy jëm ci wax ji yépp ci jamono ji RNN bu nekk ci ñoom du gis lenn ludul benn palanteer buñu mëna jëfandikoo, sub-sequence-length. Dañu ko dugal ci kaadar Conv-TasNet ngir wuutu tàqalekat TCN, DPRNN indi na njariñ yu bari ci kalite tàqale ak lim parametre bu dëgër.
Gis-gis xarala
Mekanism bi gëna am solo mooy segmentation boole ci recurrence buy wuutale. Benn rang bu gudd bu am guddaay L ñu ngi koy boole ci benn matrix bu am K chunks yu am guddaay S (ak 50% overlap). RNN bi nekk ci biir pàcc bi dafay jaar ci S (local), ginaaw ga RNN bi ci diggante pàcc yi dafay jaar ci K (global), bu nekk ci ñoom am ñaari yoon. Ndax RNN bu nekk dafay liggéey ci jéego S wala K, optimisation dafay des stabil te barab biy jot dafay nekk sequence bu mat ginaaw ay bloc yu néew. Overlap-add dafay defaraat toppalante bi.
njeextalu pexe
Dugg ak yegg
Dafay gëna yombal jëfandikoo gi jaaraleko ci transkripsioŋ, nettali ak interfaasu baat.
Njëgg ak budget
Ekipu mejaa yi mën nañu yónnee audio bu leer ci anam wu gëna gaaw te seen xaalis gëna néew.
Gaawaay ak yaatuwaay
Sistem yiy jàkkarloo ak kiliyaan bi mën nañu def waxtaan ci anam wu gëna yaatu.
Ëlëgu tàqalu RNN bu am ñaari yoon
Xalaatal ñaari yoon yu DPRNN nekkaatna ab formu bu gëna gudd fan ci selul RNN yi. SepFormer bi am ndam lu bari dafa weccoo RNN yi ak Transformers yi ci biir benn structure intra / inter chunk, TF-GridNet yokk na ñaari yoon ci liggéey bi ci waxtu ak bariwaay. Xaarandil motif segmentation-ak-alternatif ngir des ci tabax buñ miin ngir modeling audio yu gudd, di gëna boole ak bàyyi xel, ba noppi jëfandikoo ko ginaaw wax ci music ak tàqale son général.
Doxal ci àdduna dëgg
Tàqale waxkat yu bari ci benn yoon ci ndaje yu gudd wala enregistrement interview.
Dooleel yaxu ndigg li ci biir/diggante-chunk ginaaw ga SepFormer moo ko méngale ak tàqale bi gëna xarañ.
Xàjjale ab baat buñuy wut ngir transkripsioŋ bu wàcci ci waxtaan yu bari xumbaay yuy jaxasoo.
Raxasal audio yu gudd yu melni kàddu wala waxtaan ci panel fu waxkat yi di waxtaan seen biir.
Risk yi ak balustrade yi
Jëfandikoo baat ci anam wu jaarul yoon ak niru ak nit dafay gëna yokk sudee nanguwul.
Jaar-jaar mën na wàññeeku ci aksan yi, dialect yi wala barab yu bari xumbaay.
Audio synthetik mën nañu ko jaawale ak wax ju dëggu sudee amul etiket bu leer.
Roadmap ngir samp gi
Wutal ndigal bu leer ngir jàpp baat bi, klone ko ak jëfandikoowaat ko.
Saytu kalite ci kàddukat yu bari ak anam yu bari ci ginaaw.
Mandargal kañ la nit wara xoolaat wala nangu ay génne.
Etiketu audio synthetik te nga denc dokimaa ci fimu bawoo ngir mëna lim.
Weyal di banneexu
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Gis bi ci topp
RNN-Modèlu Tekkikatu
Laaj yi ñuy faral di laaj
What is Dual-Path RNN Separation?
Dual-Path RNN (DPRNN) architecture la buy tàqale ay audio, di xaaj ay man-mani audio yu gudd lool ci ay pàcc yu gàtt yuy jaxasoo, ba noppi di leen jëfandikoo ci ñaari yoon yuy wuutale, suko defee reso yuy baaxoo mëna modele ay detay yu bari ak structure global. Dafa am solo ndax dafa tax ñu mëna tàqale enregistrement yu gudd yi ci anam wu baax.
Ban jafe-jafe la Dual-Path RNN njëkka saafara?
DPRNN dafay yamale domen yu yàgg yi ci ay pàcc suko defee RNN yi mëna jëflante ak jamonoy dëkk bi ak àdduna bi te duñu sonn ci guddaay bi.
Lan mooy ñaari 'yoon' yi ci RNN bu am ñaari yoon?
Benn RNN dafay liggéey ci biir chunk bu nekk ngir motif local; yeneen xeeti liggéey yi ci biir chunks ngir structure bu sori.
naka lañuy waajalee màndarga yu guddu yi laataa ñuy bloke ñaari yoon?
DPRNN dafay plie sequence bu gudd bi ci benn matrix bu ay piyees yuy jaxasoo suko defee RNN bu nekk di liggéey ci palanteer bu gàtt.
Ci ban kaadar lañu dugal DPRNN ngir wuutu separatër bi?
DPRNN moo wecci tàqalekat TCN bi ci biir gasoduc Conv-TasNet, ba noppi tëye enkodeer bi ak dekodeer biñ jàng.
Ban model ci ginaaw moo denc DPRNN ci anam wu am ñaari yoon waaye mu wecci RNNs ak Transformers?
SepFormer jëfandikoowaat na jëmmal ñaari yoon ci biir/diggante chunk waaye mu wecci selil yuy dellusi ngir Transformer di bàyyi xel ci boppam.