InoteveraGaidhi rinotevera
Matryoshka Representation Embeddings
Mutauro AI
Chidzidzo cheAI yeRuzha
Audio Embeddings uye Kumiririra Kudzidza
Maodhiyo ekuisa mazwi anoshandura ruzha kuita compact manhamba mavekita anotora zvinoreva, saka michina inokwanisa kuenzanisa, kutsvaga, nekuisa mumapoka manzwi semaziviro anoita vanhu izwi kana rwiyo rwavanoziva.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Ndivo injini yakavanzika kuseri kwekuzivikanwa kwekutaura, kurudziro yemimhanzi, uye kutsvaga ruzha.
Kudzika Kwakadzika
Kuiswa kweodhiyo rondedzero yenhamba dzakatarwa-refu (vector) inomiririra clip yeruzha nenzira inoisa manzwi akafanana ari pedyo pamwe chete munzvimbo yemasvomhu. Marekodhi maviri ezwi rimwe chete, kana nziyo mbiri dzemhando imwe chete, dzinopedzisira dzave pedyo nemumwe kunyangwe kana masaisai adzo akataridzika akasiyana zvachose. Mamodheru anodzidza aya akamisikidzwa nekudzidziswa pahuwandu hukuru hweodhiyo, kazhinji pasina mavara evanhu. Kuzvitarisisa masisitimu seWav2Vec 2.0, HuBERT, uye CLAP dzidza nekufungidzira masiki kana akasiyana chunks eaudio. Kana zvangodzidziswa, zviya zvakaiswa mukati zvinogona kushandiswa zvakare kumabasa akawanda epasi (speaker ID, emotion, music tagging) ine data shoma shoma yakanyorwa, ndosaka kudzidza kwekumiririra kuchikosha.
Kuitwa muNyika yeChokwadi
Mimhanzi maapplication akaita seSpotify anoshandisa embeddings kukurudzira nziyo 'dzinonzwika zvakafanana' kunyangwe mumarudzi ese uye kusimbisa odhiyo yekudhindisa zvigunwe.
Shazam-maitiro maapplication anofananidza kurekodha kune ruzha kune track nekuenzanisa kuisa zvigunwe zvigunwe kwete zvekuteerera.
Vatauri vane hungwaru uye nharembozha vanoshandisa masipika embeddings (manzwi) kupatsanura nhengo dzemhuri uye kugadzirisa mhinduro dzemunhu.
Nzvimbo dzekufona uye maturusi emusangano anoshandisa embeddings yekutaura mutauri, kuratidza kuti ndiani akataura kana ari mukurekodha.
Ramangwana reOdhiyo Embeddings uye Kumiririra Kudzidza
Tarisira kuti maodhiyo emeddings awedzere kuwanda, akasanganiswa nemavara uye vhidhiyo kuitira kuti modhi imwe chete inzwisise ruzha rwechiitiko, mazwi, uye zvinoonekwa pamwechete. Nzvimbo dzakabatana dzemutauro-dzemutauro dzakaita seCLAP dziri kugonesa kutsvaga kwemutauro wechisikigo ('wana imbwa iri kuhukura pedyo netraffic'). Madiki, epa-mudziyo ekumisikidza mamodheru anogonesa yakavanzika, isina-indaneti maficha pamafoni nemaearbud, nepo hupfumi hwekuzvitarisira wega pretraining inoramba ichicheka huwandu hwe data rakanyorwa rinodiwa kumitauro mitsva uye zvisingawanzo acoustic zviitiko.
Kuzvishandisa
Nei zvichikosha
- Svika uye svika. Inonatsiridza kusvikika kuburikidza nekunyora, kurondedzera, uye mazwi ekubatanidza.
- Mutengo uye bhajeti. Zvikwata zveMedia zvinogona kutumira odhiyo yakakwenenzverwa nekukurumidza nemabhajeti madiki.
- Kumhanya uye chiyero. Masisitimu anotarisana nevatengi anogona kugadzirisa kutaurirana kwekutaura pamwero mukuru.
Chenjera
- Kushandisa izwi zvisizvo uye njodzi dzekuedzesera dzinowedzera kana chibvumirano chisipo.
- Kururama kunogona kudonha mumitauro, mataurirwo, kana nharaunda dzine ruzha.
- Synthetic audio inogona kukanganisa kutaura kwechokwadi isina mavara akajeka.
Matanho anotevera
- Wana mvumo yakajeka yekutora inzwi, kugadzira, uye kushandisa zvakare.
- Yedza mhando pavatauri vakasiyana uye mamiriro ekumashure.
- Tsanangura apo munhu anofanira kuongorora kana kubvumidza zvabuda.
- Label synthetic odhiyo uye chengetedza marekodhi ekuzvidavirira.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
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Zviedze iwe pachako
Take the Audio Embeddings and Representation Learning quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
Chii chinonzi Audio Embeddings uye Representation Kudzidza?
Maodhiyo ekuisa mazwi anoshandura ruzha kuita compact manhamba mavekita anotora zvinoreva, saka michina inokwanisa kuenzanisa, kutsvaga, nekuisa mumapoka manzwi semaziviro anoita vanhu izwi kana rwiyo rwavanoziva. Ndivo injini yakavanzika kuseri kwekuzivikanwa kwekutaura, kurudziro yemimhanzi, uye kutsvaga ruzha.
Chii chinonzi audio embedding?
Kumisikidzwa idhindo renhamba renhamba inoisa zvimedu zvinonzwika zvakafanana pedyo pamwe chete munzvimbo yemasvomhu, zvichitora zvinoreva kwete kungoita masampuli mambishi.
Nei kudzidza kwekuzvitarisisa kwakakosha zvakanyanya pakumisikidza odhiyo?
Nzira dzekuzvitarisisa dzakaita seWav2Vec 2.0 uye HuBERT dzinodzidza kubva kuhuwandu hukuru hwemaodhiyo asina kunyorwa, saka mabasa ekudzika anoda data rakanyorwa shoma.
Wav2Vec 2.0 inodzidza sei panguva yekudzidzira?
Wav2Vec 2.0 inoshandisa yakavharika, inosiyanisa chinangwa: inovanza spans yeaudio uye inodzidza kuona iyo chaiyo yakadzikama unit inopesana nevanovhiringidza.
Ko modhi yakaita seCLAP inoenderana nei munzvimbo yekumisikidzira yakagovaniswa?
CLAP (Contrastive Mutauro-Audio Pretraining) inodzidza nzvimbo yakabatana apo zvimedu zvekuteerera uye tsananguro yezvinyorwa zvinogara padhuze, zvichiita kuti zvinyorwa-based sound search.
Usati wadyisa odhiyo kune neural network, ndeipi shanduko yakajairika inowanzo shandiswa?
Raw waveforms ane mamirioni emasamples, saka odhiyo inowanzoshandurwa kuita spectrograms kana kupfuura neyakadzidzwa-yekupedzisira mafirita pamberi peiyo main network.
Ramba uchidzidza
Mazano anoenderana
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