Top suggestions for Diffusion Model Speech SynthesisExplore more searches like Diffusion Model Speech SynthesisPeople interested in Diffusion Model Speech Synthesis also searched for |
Top suggestions for Diffusion Model Speech SynthesisExplore more searches like Diffusion Model Speech SynthesisPeople interested in Diffusion Model Speech Synthesis also searched for |
Feedback
+models+have+achieved+significant+progress%252C+they+still+fall+short+in+speech+quality%252C+similarity%252C+and+prosody.+Considering+speech+intricately+encompasses+various+attributes+(e.g.%252C+content%252C+prosody%252C+timbre%252C+and+acoustic+details)+that+pose+significant+challenges+for+generation%252C+a+natural+idea+is+to+factorize+speech+into+individual+subspaces+representing+different+attributes+and+generate+them+individually.+Motivated+by+it%252C+we+propose+NaturalSpeech+3%252C+a+TTS+system+with+novel+factorized+diffusion+models+to+generate+natural+speech+in+a+zero-shot+way.+Specifically%252C+1)+we+design+a+neural+codec+with+factorized+vector+quantization+(FVQ)+to+disentangle+speech+waveform+into+subspaces+of+content%252C+prosody%252C+timbre%252C+and+acoustic+details%253B+2)+we+propose+a+factorized+diffusion+model+to+generate+attributes+in+each+subspace+following+its+corresponding+prompt.+With+this+factorization+design%252C+NaturalSpeech+3+can+effectively+and+efficiently+model+intricate+speech+with+disentangled+subspaces+in+a+divide-and-conquer+way.+Experiments+show+that+NaturalSpeech+3+outperforms+the+state-of-the-art+TTS+systems+on+quality%252C+similarity%252C+prosody%252C+and+intelligibility%252C+and+achieves+on-par+quality+with+human+recordings.+Furthermore%252C+we+achieve+better+performance+by+scaling+to+1B+parameters+and+200K+hours+of+training+data.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.5734e38d1be092bee452c1361fd5cd57%3frik%3dMdFDlnwUxWGEog%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Diffusion+Model+Speech+Synthesis&simid=608017948331489385&FORM=IRPRST&ck=ADD1059510A1A57D557DB330D587A2D3&selectedIndex=29&itb=0)
%2bmodels%2bhave%2bachieved%2bsignificant%2bprogress%252C%2bthey%2bstill%2bfall%2bshort%2bin%2bspeech%2bquality%252C%2bsimilarity%252C%2band%2bprosody.%2bConsidering%2bspeech%2bintricately%2bencompasses%2bvarious%2battributes%2b(e.g.%252C%2bcontent%252C%2bprosody%252C%2btimbre%252C%2band%2bacoustic%2bdetails)%2bthat%2bpose%2bsignificant%2bchallenges%2bfor%2bgeneration%252C%2ba%2bnatural%2bidea%2bis%2bto%2bfactorize%2bspeech%2binto%2bindividual%2bsubspaces%2brepresenting%2bdifferent%2battributes%2band%2bgenerate%2bthem%2bindividually.%2bMotivated%2bby%2bit%252C%2bwe%2bpropose%2bNaturalSpeech%2b3%252C%2ba%2bTTS%2bsystem%2bwith%2bnovel%2bfactorized%2bdiffusion%2bmodels%2bto%2bgenerate%2bnatural%2bspeech%2bin%2ba%2bzero-shot%2bway.%2bSpecifically%252C%2b1)%2bwe%2bdesign%2ba%2bneural%2bcodec%2bwith%2bfactorized%2bvector%2bquantization%2b(FVQ)%2bto%2bdisentangle%2bspeech%2bwaveform%2binto%2bsubspaces%2bof%2bcontent%252C%2bprosody%252C%2btimbre%252C%2band%2bacoustic%2bdetails%253B%2b2)%2bwe%2bpropose%2ba%2bfactorized%2bdiffusion%2bmodel%2bto%2bgenerate%2battributes%2bin%2beach%2bsubspace%2bfollowing%2bits%2bcorresponding%2bprompt.%2bWith%2bthis%2bfactorization%2bdesign%252C%2bNaturalSpeech%2b3%2bcan%2beffectively%2band%2befficiently%2bmodel%2bintricate%2bspeech%2bwith%2bdisentangled%2bsubspaces%2bin%2ba%2bdivide-and-conquer%2bway.%2bExperiments%2bshow%2bthat%2bNaturalSpeech%2b3%2boutperforms%2bthe%2bstate-of-the-art%2bTTS%2bsystems%2bon%2bquality%252C%2bsimilarity%252C%2bprosody%252C%2band%2bintelligibility%252C%2band%2bachieves%2bon-par%2bquality%2bwith%2bhuman%2brecordings.%2bFurthermore%252C%2bwe%2bachieve%2bbetter%2bperformance%2bby%2bscaling%2bto%2b1B%2bparameters%2band%2b200K%2bhours%2bof%2btraining%2bdata.%26ogModelDescription%3d%26ogImgUrl%3dhttps%3a%252F%252Ft3.ftcdn.net%252Fjpg%252F02%252F48%252F42%252F64%252F360_F_248426448_NVKLywWqArG2ADUxDq6QprtIzsF82dMF.jpg%26platform%3d%26tags%3d%26costToRun%3d%26avgCompletionTime%3d%26predictionHardware%3d&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.815282c889728d09f866d6101edf72a5%3frik%3dN5nz5UGu19ImQA%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Diffusion+Model+Speech+Synthesis&simid=608012837312421824&FORM=IRPRST&ck=4E8789F54386A8DB37306029437F5D5E&selectedIndex=14&itb=0)
