Nkewa RNN-Dual-Path
Dual-Path RNN (DPRNN) bụ ihe owuwu nkewa ọdịyo nke na-ekewa ogologo usoro nke njirimara ọdịyo n'ime mkpirisi mkpirisi ma na-ahazi ha n'ụzọ abụọ na-agbanwe agbanwe ka netwọkụ na-aga n'ihu wee nwee ike ịṅomi ma nkọwa mpaghara yana nhazi ụwa.
Nchịkọta
It matters because it made high-quality separation of long recordings practical.
Ime miri emi
Netwọk ndị na-adị ugbu a na-agba mgba na usoro dị ogologo nke ukwuu, yana ọdịyo ngalaba oge na ọnụego nlele dị elu na-ewepụta usoro nwere ọtụtụ iri puku nzọụkwụ. DPRNN (2020, Luo, Chen, Yoshioka) na-edozi nke a site n'ịhazigharị usoro njiri mara ka ọ bụrụ grid 2D nke nchikota. Ọ na-atụgharịkwa ngafe RNN abụọ: ụdị intra-chunk RNN ụdị obere oge, ụkpụrụ mpaghara n'ime chunk ọ bụla, yana ụdị RNN dị n'etiti chunk na-adabere na ogologo oge gafee chunks. Ịkọba ọtụtụ n'ime ụzọ mgbochi abụọ a na-eme ka ihe nlereanya ahụ weghara ihe gbara ya gburugburu n'okwu niile ebe RNN ọ bụla na-ahụ naanị windo nwere ike ijikwa, nke dị n'usoro-ogologo. Abanye n'ime usoro Conv-TasNet dị ka onye na-anọchi anya onye nkesa TCN, DPRNN wetara nnukwu uru na ịdịmma nkewa yana ọnụ ọgụgụ kọmpat.
Nghọta nka nka
Isi usoro bụ nkewa gbakwunyere nlọghachi ọzọ. A na-apịaji ogologo usoro ogologo L n'ime matriks nke K chunks nke ogologo S (ya na 50% machie). Intra-chunk RNN na-aga n'akụkụ S (mpaghara), mgbe ahụ, inter-chunk RNN na-aga n'ihu K (ụwa), nke ọ bụla na-abụkarị bidirectional. N'ihi na usoro RNN ọ bụla bụ naanị S ma ọ bụ K, njikarịcha na-adịgide adịgide na mpaghara nnabata dị irè na-aghọ usoro zuru oke mgbe ihe ole na ole gachara. Mgbakwunye-agbakwunye na-ewughachi usoro ahụ.
Mmetụta atụmatụ
Nweta na iru
Ọ na-eme ka nnweta ya dịkwuo mma site na ndegharị, ịkọ akụkọ, na ntụgharị olu.
Ọnụ ego na mmefu ego
Ndị otu mgbasa ozi nwere ike ibubata ọdịyo a na-egbu maramara ngwa ngwa site na iji obere mmefu ego.
Ọsọ na ọnụ ọgụgụ
Sistemụ na-eche ihu ndị ahịa nwere ike hazie mkparịta ụka n'ọtụtụ buru ibu.
Ọdịnihu nke nkewa RNN-Dual-Path
Echiche ụzọ abụọ nke DPRNN ghọrọ ndebiri nke gafere sel RNN ya kpọmkwem. SepFormer nwere nnukwu ihe ịga nke ọma gbanwere RNN maka ndị ntụgharị n'ime otu intra/inter chunk Ọdịdị, na TF-GridNet gbatịpụrụ nhazi ụzọ abụọ n'ogologo ma oge. Na-atụ anya na usoro nkewa-na-ọzọ ga-abụ ihe mgbochi ụlọ ọkọlọtọ maka ịmegharị ọdịyo ogologo oge, na-ejikọta ya na nlebara anya ma tinye ya n'ofe okwu na egwu na nkewa ụda izugbe.
Mmejuputa n'ezie n'ụwa
Na-ekewa ọtụtụ ndị na-ekwu okwu n'otu oge na nzụkọ ogologo oge ma ọ bụ ndekọ ajụjụ ọnụ.
Na-eme ka ọkpụkpụ intra/inter-chunk mechaa mebere SepFormer maka nkewa ọgbara ọhụrụ.
Ikewapụ olu ebumnuche maka ndegharị n'okpuru mmiri na mkparịta ụka na-eme mkpọtụ.
Na-ehicha ọdịyo ogologo oge dịka nkuzi ma ọ bụ mkparịta ụka panel ebe ndị na-ekwu okwu na-ekwurịta okwu.
Ihe ize ndụ & okporo ụzọ nche
Iji olu eme ihe na ihe egwu mpụta ga-abawanye mgbe nkwenye na-efu.
Izi ezi nwere ike ịdaba n'ofe ụda olu, olumba ma ọ bụ gburugburu mkpọtụ.
Enwere ike imehie ọdịyo sịntetik dị ka ezigbo okwu na-enweghị akara doro anya.
Map mmejuputa
Nweta nkwenye doro anya maka ijide olu, imechi, na ijigharị.
Nwale ogo n'ofe ndị na-ekwu okwu dị iche iche yana ọnọdụ ndabere.
Kọwaa mgbe mmadụ ga-enyocha ma ọ bụ kwado nsonye.
Deba aha ọdịyo sịntetik ma debe ndekọ ihe ndekọ maka ịza ajụjụ.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Ụdị Ntugharị RNN
Ajụjụ a na-ajụkarị
What is Dual-Path RNN Separation?
Dual-Path RNN (DPRNN) bụ ihe owuwu nkewa ọdịyo nke na-ekewa ogologo usoro nke njirimara ọdịyo n'ime mkpirisi mkpirisi ma na-ahazi ha n'ụzọ abụọ na-agbanwe agbanwe ka netwọkụ na-aga n'ihu wee nwee ike ịṅomi ma nkọwa mpaghara yana nhazi ụwa. Ọ dị mkpa n'ihi na o mere ka ikewapụta ogologo ndekọ dị elu dị mma.
Kedu nsogbu nke Dual-Path RNN na-edozi isi?
DPRNN na-ahazigharị usoro ngalaba-ogologo ogologo ka ọ bụrụ nkewa ka RNN wee nwee ike ijikwa ọnọdụ mpaghara na nke zuru ụwa ọnụ na-akpagbughị ogologo oge.
Kedu 'ụzọ' abụọ dị na Dual-Path RNN?
Otu usoro RNN n'ime chunk ọ bụla maka ụkpụrụ mpaghara; usoro ndị ọzọ gafere chunks maka usoro ogologo oge.
Kedu ka esi akwado usoro ogologo ogologo n'ihu ngọngọ ụzọ abụọ?
DPRNN na-apịaji ogologo usoro n'ime matriks nke mkpirisi kpuchiri ya ka RNN nke ọ bụla na-ahazi obere windo.
N'ime kedụ usoro dị adị ka ewebara DPRNN ka ọ bụrụ nnọchi nkewa?
DPRNN nọchiri ihe nkesa TCN n'ime ọkpọkọ Conv-TasNet, na-edobe koodu nzuzo na ihe ngbanwe nke mmụta.
Kedu ihe nlereanya mechara debere usoro ụzọ abụọ DPRNN mana jiri Transformers dochie RNN?
SepFormer jigharịgharị ụzọ intra/inter-chunk dual-ụzọ mana ọ gbanwere mkpụrụ ndụ na-emegharị ugboro ugboro maka nlebara anya onwe onye Transformer.