April 4, 2024, 4:47 a.m. | Yejin Jeon, Yunsu Kim, Gary Geunbae Lee

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.02592v1 Announce Type: new
Abstract: Contemporary neural speech synthesis models have indeed demonstrated remarkable proficiency in synthetic speech generation as they have attained a level of quality comparable to that of human-produced speech. Nevertheless, it is important to note that these achievements have predominantly been verified within the context of high-resource languages such as English. Furthermore, the Tacotron and FastSpeech variants show substantial pausing errors when applied to the Korean language, which affects speech perception and naturalness. In order to …

abstract arxiv cs.cl cs.sd eess.as human indeed quality speech speech generation synthesis synthetic synthetic speech tts type

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

NUSolve Innovation Assistant/Associate in Data Science'

@ Newcastle University | Newcastle, GB

Data Engineer (Snowflake)

@ Unit4 | Lisbon, Portugal

Lead Data Engineer

@ Provident Bank | Woodbridge, NJ, US

Specialist Solutions Engineer (Data Science/Machine Learning)

@ Databricks | London, United Kingdom

Staff Software Engineer, Data Mirgrations

@ Okta | Canada