Overview
Iyo Deep Noise Suppression (DNS) Dambudziko Microsoft-rinomhanyisa makwikwi anosundidzira vaongorori kuvaka neural network inobvisa ruzha rwekumashure kubva pakutaura munguva chaiyo. Iyo yakaisa mabhenji emazuva ano ayo ane simba anoita seTimu uye Zoom ruzha kubviswa.
Deep Noise Suppression Challenge inogara muodhiyo-AI workflows inoshandura kutaura, mimhanzi, uye ruzha rwekutaurirana, kuwanikwa, uye kugadzirwa kwenhau.
Deep Dive
Yakatangwa ne Microsoft muna 2020 uye yakadzokororwa kwemakore akati wandei (kazhinji paINTERSPEECH neICASSP), DNS Challenge yakapa zvikwata hombe, yakamisikidzwa dataset yekutaura kwakachena, zvimedu zveruzha, uye marekodhi akasanganiswa ane ruzha. Zvine hutsinye, yakachinja ongororo kubva kune yekare chiratidzo math sePESQ yakanangana nekuteerera kwevanhu zvibodzwa uye kudzidza kufanotaura kwemhando inonzwisisika. Yakawedzerawo mamiriro ezvinhu akaoma epasirese: makamuri anodzoreredza, ruzha rusina kumira (kutaipa, imbwa, siren), ruzha rwema tonal, uye mamiriro emunhu apo modhi inofanirwa kudzvanyirira munhu wese kunze kwemutauri akanyoreswa. Nekuburitsa dhata, nheyo, uye yakajairwa bvunzo seti, inoita kuti maLabs aenzanise maapuro nemaapuro uye nekukasira danho kubva pakusefa matipi kuenda kumagumo-kusvika-kupedzisa kudzidza kwakadzama kwekusimudzira kutaura.
Technical Insight
Mapinda anowanzo kudyisa iyo ine ruzha waveform yenguva pfupi-pfupi Fourier inoshanduka kuita inodzokororwa kana convolutional network inofanotaura mask-frequency mask. Kuwedzera maski neruzha spectrum kunoderedza ruzha-inodzorwa mabhini uchichengetedza iwo anodzorwa nekutaura, ipapo inopesana STFT inovakazve waveform. Real-time mitemo cap algorithmic latency (yakakomberedza 40 ms) uye inoda causal kugadzirisa, saka modhi haigone kutarisa kune remangwana redhiyo paunenge uchichenesa chimiro chazvino.
Mastering Deep Noise Suppression Challenge
Iyo Deep Noise Suppression (DNS) Dambudziko Microsoft-rinomhanyisa makwikwi anosundidzira vaongorori kuvaka neural network inobvisa ruzha rwekumashure kubva pakutaura munguva chaiyo. Iyo yakaisa mabhenji emazuva ano ayo ane simba anoita seTimu uye Zoom ruzha kubviswa. Deep Noise Suppression Challenge inogara muodhiyo-AI workflows inoshandura kutaura, mimhanzi, uye ruzha rwekutaurirana, kuwanikwa, uye kugadzirwa kwenhau. Kuvaka kunzwisisa kwakadzama, tora Deep Noise Suppression Challenge semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvaunoda mhedzisiro, jekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Deep Noise Suppression Challenge zvinobata mhando, latency, uye mvumo sezvikamu zvakakosha zvakaenzana zvehurongwa hwekuendesa. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Inonatsiridza kusvikika kuburikidza nekunyora, kurondedzera, uye mazwi ekubatanidza. Panguva imwecheteyo, kusashandiswa kweIzwi zvisizvo uye njodzi dzekuedzesera dzinowedzera kana chibvumirano chisipo. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Inonatsiridza kusvikika kuburikidza nekunyora, kurondedzera, uye mazwi ekubatanidza.
Inonatsiridza kusvikika kuburikidza nekunyora, kurondedzera, uye mazwi ekubatanidza. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Zvikwata zveMedia zvinogona kutumira odhiyo yakakwenenzverwa nekukurumidza nemabhajeti madiki.
Zvikwata zveMedia zvinogona kutumira odhiyo yakakwenenzverwa nekukurumidza nemabhajeti madiki. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Masisitimu anotarisana nevatengi anogona kugadzirisa kutaurirana kwekutaura pamwero mukuru.
Masisitimu anotarisana nevatengi anogona kugadzirisa kutaurirana kwekutaura pamwero mukuru. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Chaiyo-nguva yekumashure-ruzha kubviswa muMicrosoft Matimu uye mamwe vhidhiyo-call maapuro
Yakachena matauriro ekutora munzeve uye mahedhifoni panguva yekufamba kana kubatikana macafe
Kufanogadzirisa marekodhi emumunda ane ruzha usati wanyora otomatiki kana kutora mazwi
Kuvandudza kunzwisisika mune zvinoyamura kunzwa uye midziyo yekuteerera yekubatsira
Maitiro Ekuita
Deep Noise Suppression Challenge mukuita
Chaiyo-nguva yekumashure-ruzha kubviswa muMicrosoft Zvikwata uye mamwe maapuro evhidhiyo ekufona.
Chaiyo-nguva yekumashure-ruzha kubviswa muMicrosoft Zvikwata uye mamwe vhidhiyo-kufona maapuro Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura mabindu emhando kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Deep Noise Suppression Challenge mukuita
Yakachena matauriro ekutora munzeve uye mahedhifoni panguva yekufamba kana kubatikana macafe.
Yakachena yekutaura inobatwa munzeve uye mahedhifoni panguva yekufamba kana kubatikana macafe Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Deep Noise Suppression Challenge mukuita
Kufanogadzirisa marekodhi emumunda ane ruzha usati wanyora otomatiki kana kutora mazwi.
Kufanogadzirisa marekodhi emumunda ane ruzha usati wanyorerwa otomatiki kana kutora mazwi Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Deep Noise Suppression Challenge mukuita
Kuvandudza kunzwisisika mune zvinoyamura kunzwa uye midziyo yekuteerera yekubatsira.
Kuvandudza hungwaru mune zvinoyamura kunzwa uye midziyo yekuteerera yekubatsira Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
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.
Implementation Roadmap
Wana mvumo yakajeka yekutora inzwi, kugadzira, uye kushandisa zvakare.
Wana mvumo yakajeka yekutora inzwi, kugadzira, uye kushandisa zvakare. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Yedza mhando pavatauri vakasiyana uye mamiriro ekumashure.
Yedza mhando pavatauri vakasiyana uye mamiriro ekumashure. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tsanangura apo munhu anofanira kuongorora kana kubvumidza zvabuda.
Tsanangura apo munhu anofanira kuongorora kana kubvumidza zvabuda. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Label synthetic odhiyo uye chengetedza marekodhi ekuzvidavirira.
Label synthetic odhiyo uye chengetedza marekodhi ekuzvidavirira. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.