Chidzidzo cheAI yeRuzha

WaveGlow Flow-Based Vocoder

WaveGlow inoyerera-yakavakirwa neural vocoder kubva kuNVIDIA iyo inogadzirisa mafungu ekutaura kubva kumel-spectrograms mune imwechete pass pasina autoregression.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Pa peji ino2 min verenga
  1. Pfupiso
  2. Kudzika Kwakadzika
  3. Kuitwa muNyika yeChokwadi
  4. Ramangwana reWaveGlow Flow-Yakavakirwa Vocoder
  5. Kuzvishandisa
  6. Ramba Uchiongorora
  7. Mibvunzo inowanzo bvunzwa

Pfupiso

It matters because it delivers high-quality audio faster than real time using only a simple likelihood loss.

Kudzika Kwakadzika

WaveGlow, yakaburitswa naPrenger, Valle, uye Catanzaro kuNVIDIA muna 2018, inosanganisa mazano kubva kuGlow neWaveNet kuvaka vocoder inokurumidza uye iri nyore kudzidzisa. Kusiyana nemavokodha eGAN, inoyerera yakajairwa: inodzidza mepu isingachinjiki pakati pekugovera kwakapusa kweGaussian uye odhiyo waveform, yakarongedzwa pane mel-spectrogram. Kudzidzira kunowedzera iyo chaiyo log-mukana weiyo data, saka haidi akaparadzana akaparadzana, hapana auto-regression, uye hapana maviri-network mudzidzisi-mudzidzi distillation iyo yapfuura yakafanana WaveNet nzira dzinodiwa. Kuti ugadzire odhiyo iwe unotevedzera Gaussian ruzha uye mhanyisa iyo invertible network kumashure. WaveGlow inogadzira kutaura kwemhando inofananidzwa neWaveNet uku ichigadzira nekukurumidza kupfuura nguva chaiyo paGPU yemazuva ano.

Kuitwa muNyika yeChokwadi

Kubatanidza neTacotron 2 muNVIDIA's reference TTS pombi yekugadzira yakasikwa studio-yemhando yekutaura

Yekukurumidza GPU yekutaura synthesis yekurondedzera, dubbing, uye zvemukati kugadzira workflows

Kugadzira kudzidziswa uye demo odhiyo mukutsvagisa uko kwakagadzikana, kumwe-kurasikirwa kudzidziswa kunosarudzwa

Chaiyo-nguva-inokwanisa izwi kubuda mumashandisirwo masisitimu anomhanya paNVIDIA hardware

Ramangwana reWaveGlow Flow-Yakavakirwa Vocoder

WaveGlow yakaratidza kuti yakachena kuyerera mavhokodha anogona kukwikwidza autoregressive mhando, ichipesvedzera gare gare kuyerera uye kuyerera-kunoenderana odhiyo modhi. Kureruka kwaro-kurasikirwa kunoramba kuchifadza, kunyange GAN vocoders seHiFi-GAN ikozvino inowanzokunda pakukura nekumhanya. Kutarisa kumberi, kuyerera-kwakavakirwa uye kuyerera-kufananidza mazano ari kusimuka mune yemazuva ano kupararira-yakatarisana neTTS, uye WaveGlow-maitiro invertible madhizaini anoenderera mberi nekuzivisa tsvakiridzo pane chaiyo-inogoneka, inodzoreka, uye inoshanda waveform chizvarwa.

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

  1. Wana mvumo yakajeka yekutora inzwi, kugadzira, uye kushandisa zvakare.
  2. Yedza mhando pavatauri vakasiyana uye mamiriro ekumashure.
  3. Tsanangura apo munhu anofanira kuongorora kana kubvumidza zvabuda.
  4. Label synthetic odhiyo uye chengetedza marekodhi ekuzvidavirira.

Ramba Uchiongorora

Tsamba yemahara

Tora iyo yemazuva ese AI pfupiso

Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.

Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.

Zviedze iwe pachako

Take the WaveGlow Flow-Based Vocoder quiz

Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.

Tanga mibvunzo

Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo

Mibvunzo inowanzo bvunzwa

What is WaveGlow Flow-Based Vocoder?

WaveGlow inoyerera-yakavakirwa neural vocoder kubva kuNVIDIA iyo inogadzirisa mafungu ekutaura kubva kumel-spectrograms mune imwechete pass pasina autoregression. Izvo zvine basa nekuti inoburitsa emhando yepamusoro odhiyo nekukurumidza kupfuura nguva chaiyo uchishandisa chete nyore kurasikirwa.

WaveGlow inosanganisa mazano ekuvaka kubva kune maviri mamodheru?

WaveGlow inosanganisa iyo invertible kuyerera chimiro cheGlow ine odhiyo-modhiyo dhizaini yeWaveNet.

Chii chinonzi WaveGlow modhi?

WaveGlow ndeye yakajairika kuyerera iyo inodzidza invertible mepu pakati peGaussian ruzha uye odhiyo.

WaveGlow inoburitsa sei waveform panguva yekufungidzira?

Nekuti iyo network haichinjike, unodhonza Gaussian ruzha uye unomhanyisa kuyerera uchidzokera kumashure, wakamisikidzwa pane mel-spectrogram.

Ndechipi chinangwa chinokwidziridzwa neWaveGlow panguva yekudzidziswa?

Sekuyerera, WaveGlow inowedzera iyo chaiyo log-inogona, inoda kusarura kana distillation.

Ndezvipi zvikamu zviviri zvinogadzira imwe neimwe invertible nhanho muWaveGlow?

Yese inoyerera nhanho inobatanidza affine coupling layer ine invertible 1x1 convolution yakatorwa kubva kuGlow.