Audio yuñ dugal ak jàngat ci representation
Embeddings audio yi dañuy soppi son bi mu nekk vecteur numérique yu kompact yuy jàpp luñuy tekki, suko defee masin yi mëna méngale, seetee, ak xaaj audio yi ci anam wi nit ñi di xàmmee baat wala way buñ miin.
Résumé
They are the hidden engine behind speech recognition, music recommendation, and sound search.
Plongeur bu xóot
Embedding audio mooy limu nimero yu am guddaay bu takku (vecteur) buy màndargaal benn clip son ci anam wuy boole son yu nuróo ci espace math. Ñaari enregistrement yu benn baat, wala ñaari way ci benn genre, dañuy mujjee nekk ci wetu seen biir doonte seeni forme onde yu wuute lool. Model yi dañu jàng embeddings yooyu ci tàggat ci audio yu bari, lu bari ci ñoom duñu am etiketu nit. Sistem yiy saytu seen bopp yu melni Wav2Vec 2.0, HuBERT, ak CLAP dañuy jàng ci seetlu ay pàcci audio yu maske wala yu wuute. Buñu ko tàggatee, mën nañu jëfandikoowaat benn embeddings bi ci liggéey yu bari ci suuf (ID kàddukat, yëg-yëg, etiketu music) ak done yu néew yuñ yokk, moo tax jàng representation am solo lool.
Gis-gis xarala
Audio bu ñor ay milioŋ ciy misaal la ci simili bu nekk, kon model yi dañu koy njëkka soppi def ko spectrogram wala filtre yuñ jàng, ba noppi ñu jàll ko ci transformatër wala reso convolutionnel. Mébet yi ñuy saytu seen bopp ñooy gëna am solo: Wav2Vec 2.0 dafay maske span audio yi ba noppi jàng tànnee unité quantifié bu dëggu ci distractors yi, ci noonu la model yu wuute yu melni CLAP di xëcc ñaari audio-tekst yu méngoo ak push mismatches yi. Lépp soo ko boolee mu nekk vecteur bu dëgër, lu bari ay téemeeri wala junni dimension, muy kode fonetik, waxkat, ak structure akustik.
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 ëmbeefi audio ak jàng representation
Xaarandil ni embeddings audio yi dina ñu gëna bari ay anam yu wuute, boole ci bind ak wideo suko defee benn model mëna dégg son, kàddu yi ak nataal yi ci benn seen. Barabu làkk audio yuñ boole lu melni CLAP dañuy may seetug son ci làkk wiñ nàmp ('gis xaj buy waay ci wetu dem bi ak dikk bi'). Ay xeetu embedding yu gina ndaw, ci aparey yi dinañu dooleel ay man-mani baat yu kenn xamul ci telefon yi ak ay earbuds, ci noonu la taggat bu gina riis bi ñuy saytu boppam di wey di dagg limu done yiñ soxla ci lakk yu bees yi ak xew xew akustik yu nééw yi.
Doxal ci àdduna dëgg
Aplikaasioŋu music yu melni Spotify dañuy jëfandikoo ay embedding ngir digal way yu 'nuru' ba ci genre yépp ak ngir dooleel emprent audio.
Aplikaasioŋ yu nuroo ak yu Shazam dañuy méngale enregistrement bu bari bruit ak track ci méngale emprent baraam yiñ ci samp, du audio bu ñor.
Oparlër yu xarañ yi ak telefon yi dañuy jëfandikoo ay oparlër yuñ samp (empre baat) ngir xàmmee waa kër gi ak personaalise tontu yi.
Call center yi ak jumtukaayi ndaje yi dañuy jëfandikoo ay embeddings ngir diarization waxinkat yi, ngir xàmmee kan moo wax ci enregistrement bi.
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
Matryoshka
Laaj yi ñuy faral di laaj
What is Audio Embeddings and Representation Learning?
Embeddings audio yi dañuy soppi son bi mu nekk vecteur numérique yu kompact yuy jàpp luñuy tekki, suko defee masin yi mëna méngale, seetee, ak xaaj audio yi ci anam wi nit ñi di xàmmee baat wala way buñ miin. Mooy motër bi nëbbu ci ginaaw xàmmee kàddu yi, xelal music ak seetlu son.
Luy dugal audio?
Embedding mooy vecteur numérique bu dëgër biy def ay clip yu nuróo ci espace math, di jàpp luy tekki, du ay misaal yu ñor kese.
Lan moo tax jàng bi ñuy saytu sa bopp am solo lool ci embedding audio yi?
Pexe yu ñuy saytu seen bopp yu melni Wav2Vec 2.0 ak HuBERT dañu jàngee ci audio yu bari yu amul etiket, kon liggéey yi ci suuf dañu soxla done yu néew etiket.
naka la Wav2Vec 2.0 di jàngee ci diiru tàggat yaram?
Wav2Vec 2.0 dafay jëfandikoo objectif bu maskeer, buy wuutale: dafay nëbb span audio yi ba noppi jàng ràññee unité latente bu dëggu bi ak distracteurs yi.
Lan mooy model bu melni CLAP ci barab buñ bokk?
CLAP (Làkk wu wuute-Audio Pretraining) dafay jàng barab bu clip audio yi ak seeni tegtali bind di jegewaale, loolu mooy tax ñu mëna seetlu son ci bind.
Laata ñuy dugal audio ci reso neuronal, ban coppite lañuy faral di jëfandikoo?
Formu onde yu ñor yi amnañu ay milioŋ ciy misaal, moo tax dañuy faral di soppi audio bi ci spectrogram wala ñu jaar ci ay filtre front-end yuñ jàng balaa reso bu mag bi.