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%252C+a+hierarchical+transformer+designed+for+efficient+speech+language+modeling.+GPST+quantizes+audio+waveforms+into+two+distinct+types+of+discrete+speech+representations+and+integrates+them+within+a+hierarchical+transformer+architecture%252C+allowing+for+a+unified+one-stage+generation+process+and+enhancing+Hi-Res+audio+generation+capabilities.+By+training+on+large+corpora+of+speeches+in+an+end-to-end+unsupervised+manner%252C+GPST+can+generate+syntactically+consistent+speech+with+diverse+speaker+identities.+Given+a+brief+3-second+prompt%252C+GPST+can+produce+natural+and+coherent+personalized+speech%252C+demonstrating+in-context+learning+abilities.+Moreover%252C+our+approach+can+be+easily+extended+to+spoken+cross-lingual+speech+generation+by+incorporating+multi-lingual+semantic+tokens+and+universal+acoustic+tokens.+Experimental+results+indicate+that+GPST+significantly+outperforms+the+existing+speech+language+models+in+terms+of+word+error+rate%252C+speech+quality%252C+and+speaker+similarity.+See+url%7bhttps%3a%252F%252Fyoungsheen.github.io%252FGPST%252Fdemo%7d+for+demo+samples.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.49cb90dbbac44252758b00747ff1994c%3frik%3d07nWOz4Gem3P7A%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Tomoto+Speech-Language+Model&FORM=IRPRST&ck=90D79E9EF75703CE474B81585DF63E46&selectedIndex=3&itb=0)
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