Nchịkọta
Residual vector quantization (RVQ) bụ usoro na-atụgharị ntinye ọdịyo na-aga n'ihu ka ọ bụrụ nchịkọta kọmpụta nke koodu pụrụ iche site n'ịgụta njehie fọdụrụ ugboro ugboro. Ọ dị mkpa n'ihi na ọ bụ injin dị n'azụ codecs neural ọgbara ọhụrụ dị ka SoundStream na EnCodec na tokenizer maka ọdịyo mmepụta.
Residual Vector Quantization na-anọdụ n'usoro ọrụ ọdịyo-AI nke na-agbanwe okwu, egwu, na ụda maka nzikọrịta ozi, nnweta na mmepụta mgbasa ozi.
Ime miri emi
Plain vector quantization (VQ) na-edochi vector na-aga n'ihu na ntinye kacha nso na akwụkwọ koodu mmụta, mana otu koodu koodu nke zuru oke maka ịdị mma dị elu ga-achọ ntinye ọnụ ọgụgụ dị ukwuu nke mbara igwe. RVQ na-edozi nke a site n'itinye ọtụtụ akwụkwọ koodu obere obere. Nke mbụ codebook na-emepụta a keadighi rarii approximation; ị na-ewepụ ya ka ị nweta njehie fọdụrụnụ, jiri akwụkwọ koodu nke abụọ were gụpụta nke fọdụrụnụ, wepụ ọzọ, wee gaa n'ihu maka usoro N. Koodu ikpeazụ bụ ndepụta indices ahọpụtara n'ofe niile, na nrụgharị ahụ bụ nchikota vectors codebook niile ahọpụtara. Nke a na-emepụta nnukwu koodu codebook dị irè n'ime ọtụtụ ndị dị nta, na-egbutu ebe nchekwa n'ụzọ dị egwu ma na-agbakọ ma na-ahapụ ọnụ ọgụgụ bitrate naanị site na iji usoro ma ọ bụ ole na ole. Mwepu nke Quantizer n'oge ọzụzụ na-eme ka akwụkwọ codebook mbụ buru ozi kachasị, na-eme ka mmebi dị mma mara mma.
Nghọta nka nka
Nkeji ọ bụla na-enyocha akwụkwọ agbataobi kacha nso n'akwụkwọ koodu ya na ihe fọdụrụ ugbu a, a na-amụtakwa akwụkwọ koodu site na nwelite nkezi na-agagharị agagharị gbakwunyere mfu nkwa ka mpụta koodu wee nọrọ nso na ndenye ahọpụtara. Site na ntinye M nke K nke ọ bụla, RVQ na-anọchite anya K-to-the-M ngwakọta dị irè site na iji naanị M times K echekwara vectors na M times log2(K) ibe n'ibe kwa etiti, dị ọnụ ala karịa otu nnukwu codebook.
Ịmụta mkpokọta vector fọdụrụnụ
Residual vector quantization (RVQ) bụ usoro na-atụgharị ntinye ọdịyo na-aga n'ihu ka ọ bụrụ nchịkọta kọmpụta nke koodu pụrụ iche site n'ịgụta njehie fọdụrụ ugboro ugboro. Ọ dị mkpa n'ihi na ọ bụ injin dị n'azụ codecs neural ọgbara ọhụrụ dị ka SoundStream na EnCodec na tokenizer maka ọdịyo mmepụta. Residual Vector Quantization na-anọdụ n'usoro ọrụ ọdịyo-AI nke na-agbanwe okwu, egwu, na ụda maka nzikọrịta ozi, nnweta na mmepụta mgbasa ozi. Iji wulite nghọta miri emi, na-emeso Residual Vector Quantization dị ka ihe nlereanya na-arụ ọrụ, ọ bụghị otu njirimara: kọwaa nsonaazụ achọrọ, dokwuo anya echiche, kewaa ihe sistemụ ahụ nwere ike ime nke ọma na ihe ka chọrọ mkpebi ndị ọkachamara.
Na omume, otu ndị siri ike na-eji Residual Vector Quantization na-emeso ịdịmma, nkwụsịtụ, na nkwenye dị ka akụkụ dị mkpa nke atụmatụ mbugharị. Ha na-edepụta njirisi ịga nke ọma nke ọma, nwalee megide data ziri ezi yana usoro ọrụ, yana na-atụgharị dabere na usoro ọdịda ahụrụ karịa karịa mmeri otu oge. Nke a bụ ebe nghọta usoro ihe atụ na-atụgharị ghọọ ike na-adịgide adịgide n'ofe ngwaahịa, amụma na arụmọrụ.
Ọ na-eme ka nnweta ya dịkwuo mma site na ndegharị, ịkọ akụkọ, na ntụgharị olu. N'otu oge ahụ, iji olu eme ihe n'ụzọ na-ezighị ezi na ihe egwu mpụta ga-abawanye mgbe nkwenye na-efu. Ụzọ kachasị na-agbanwe agbanwe bụ ijikọ ọsọ nnwale na ịdọ aka ná ntị ọchịchị: ndị na-anya ụgbọ elu, ijide ihe akaebe, bipụta ndekọ mkpebi, na na-aga n'ihu na-emelite nchekwa dị ka omume nlereanya, atụmanya ndị ọrụ, na ihe iwu chọrọ.
Mmetụta atụmatụ
Ọ na-eme ka nnweta ya dịkwuo mma site na ndegharị, ịkọ akụkọ, na ntụgharị olu.
Ọ na-eme ka nnweta ya dịkwuo mma site na ndegharị, ịkọ akụkọ, na ntụgharị olu. N'ịkwanye ọkwa dị elu, a na-atụgharị nke a ka ọ bụrụ iwu arụ ọrụ enwere ike ịtụnye, oke nwe, na emume ntụlegharị ugboro ugboro ka ndị otu wee nwee ike ịbawanye ntụkwasị obi kama iwelite enweghị mgbagha.
Ndị otu mgbasa ozi nwere ike ibubata ọdịyo a na-egbu maramara ngwa ngwa site na iji obere mmefu ego.
Ndị otu mgbasa ozi nwere ike ibubata ọdịyo a na-egbu maramara ngwa ngwa site na iji obere mmefu ego. N'ịkwanye ọkwa dị elu, a na-atụgharị nke a ka ọ bụrụ iwu arụ ọrụ enwere ike ịtụnye, oke nwe, na emume ntụlegharị ugboro ugboro ka ndị otu wee nwee ike ịbawanye ntụkwasị obi kama iwelite enweghị mgbagha.
Sistemụ na-eche ihu ndị ahịa nwere ike hazie mkparịta ụka n'ọtụtụ buru ibu.
Sistemụ na-eche ihu ndị ahịa nwere ike hazie mkparịta ụka n'ọtụtụ buru ibu. N'ịkwanye ọkwa dị elu, a na-atụgharị nke a ka ọ bụrụ iwu arụ ọrụ enwere ike ịtụnye, oke nwe, na emume ntụlegharị ugboro ugboro ka ndị otu wee nwee ike ịbawanye ntụkwasị obi kama iwelite enweghị mgbagha.
Mmejuputa n'ezie n'ụwa
Ihe ntinye koodu na-akpachapụ anya n'ime SoundStream, EnCodec, na DAC neural codecs
Na-emepụta token ọdịyo nwere ọkwa nke AudioLM na MusicLM na-ewepụta
Ịkwalite codec's bitrate elu ma ọ bụ ala site n'ịgbalite ọkwa quantizer karịa ma ọ bụ dị nta
Na-echikota ihe ntinye akụkụ dị elu na nweghachi na sistemu nchekwa site na iji akwụkwọ koodu ekpokọtara
Usoro mmejuputa
Residual vector quantization na omume
Ihe ntinye koodu na-akpachapụ anya n'ime SoundStream, EnCodec, na DAC neural codecs.
Ntughari ntinye koodu n'ime SoundStream, EnCodec, na DAC neural codecs Otu dị iche iche na-enwetakarị nsonaazụ kacha mma mgbe ha kọwapụtara ọnụ ụzọ dị mma n'ihu, na-edobe ụzọ ịrị elu mmadụ maka ikpe ikpe, ma soro ma uru nrụpụta yana ụgwọ njehie n'ime oge.
Residual vector quantization na omume
Na-emepụta token ọdịyo nwere ọkwa nke AudioLM na MusicLM na-ewepụta.
Ịmepụta akara ụda olu dị larịị nke AudioLM na MusicLM na-ewepụta karịa otu na-enwetakarị nsonaazụ kacha mma mgbe ha kọwapụtara ọnụ ụzọ dị mma n'ihu, debe ụzọ nkwalite mmadụ maka ikpe ọnụ, wee soro ma uru nrụpụta yana ụgwọ njehie na-aga n'ihu oge.
Residual vector quantization na omume
Ịkwalite codec's bitrate elu ma ọ bụ ala site n'ịgbalite ọkwa quantizer karịa ma ọ bụ dị nta.
Ịmelite codec's bitrate elu ma ọ bụ ala site n'ịgbalite usoro quantizer karịa ma ọ bụ dị ole na ole Otu na-enwetakarị nsonaazụ ka mma mgbe ha na-akọwapụta ọnụ ụzọ dị mma n'ihu, na-edebe ụzọ ịrị elu mmadụ maka ikpe ikpe, ma soro ma uru nrụpụta na ụgwọ njehie na oge.
Residual vector quantization na omume
Na-echikota ihe ntinye akụkụ dị elu na nweghachi na sistemu nchekwa site na iji akwụkwọ koodu ekpokọtara.
Ịkwakọba ihe ntinye akụkụ dị elu na nweghachi na sistemụ nchekwa site na iji koodu codebooks ndị otu na-enwetakarị nsonaazụ ka mma mgbe ha na-akọwapụta ọnụ ụzọ dị mma n'ihu, na-edebe ụzọ ịrị elu mmadụ maka ikpe ikpe, ma soro ma uru nrụpụta na ụgwọ njehie n'ime oge.
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.
Nweta nkwenye doro anya maka ijide olu, imechi, na ijigharị. Mesoo nzọụkwụ ọ bụla dị ka ọnụ ụzọ akaebe: ọ bụrụ na emezughị ụkpụrụ, kwụsịtụ mbugharị, mechie oghere ahụ, naanị wee gbasaa ojiji.
Nwale ogo n'ofe ndị na-ekwu okwu dị iche iche yana ọnọdụ ndabere.
Nwale ogo n'ofe ndị na-ekwu okwu dị iche iche yana ọnọdụ ndabere. Mesoo nzọụkwụ ọ bụla dị ka ọnụ ụzọ akaebe: ọ bụrụ na emezughị ụkpụrụ, kwụsịtụ mbugharị, mechie oghere ahụ, naanị wee gbasaa ojiji.
Kọwaa mgbe mmadụ ga-enyocha ma ọ bụ kwado nsonye.
Kọwaa mgbe mmadụ ga-enyocha ma ọ bụ kwado nsonye. Mesoo nzọụkwụ ọ bụla dị ka ọnụ ụzọ akaebe: ọ bụrụ na emezughị ụkpụrụ, kwụsịtụ mbugharị, mechie oghere ahụ, naanị wee gbasaa ojiji.
Deba aha ọdịyo sịntetik ma debe ndekọ ihe ndekọ maka ịza ajụjụ.
Deba aha ọdịyo sịntetik ma debe ndekọ ihe ndekọ maka ịza ajụjụ. Mesoo nzọụkwụ ọ bụla dị ka ọnụ ụzọ akaebe: ọ bụrụ na emezughị ụkpụrụ, kwụsịtụ mbugharị, mechie oghere ahụ, naanị wee gbasaa ojiji.