POREĐENJE SISTEMA ZA SINTEZU EKSPRESIVNOG GOVORA SA MOGUĆNOŠĆU KONTROLE JAČINE EMOCIJE
DOI:
https://doi.org/10.24867/11BE18VujovicKljučne reči:
ekspresivna sinteza govora, modelovanje emocija, embedding vektori, duboke neuronske mrežeApstrakt
U sintezi ekspresivnog govora važno je generisati emocionalno obojen govor koji odražava kompleksnost emocionalnih stanja. Brojni TTS sistemi emocije u sintetizovanom govoru modeluju u vidu diskretnih skupova, ali tek kada se uzmu u obzir i varijacije koje postoje unutar emotivnih stanja, generisani govor može biti nalik ljudskom. Ovaj rad obuhvata teorijsku analizu i poređenje dva inovativna sistema za sintezu ekspresivnog govora koji kompleksnost emocija modeluju u vidu kontinualnih vektora kojima je moguće manipulisati. Rezultati pokazuju da je pristup zasnovan na t-SNE embedding vektorima primjenljiv samo u slučaju specifičnih baza podataka, dok je drugi pristup, zasnovan na interpolaciji tačaka u embedding prostoru multi-speaker, multi-style modela, opštiji, ali zahtijeva dodatnu analizu.
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