3 accepted papers
In audiobook synthesis, it is important to have the ability to differentiate between dialog and narration or different characters. In this work, we propose dialog modeling methods for audiobook synthesis. The proposed approach consists of two stages. First, a text-based dialog style classifier is em…
Neural text-to-speech (TTS) synthesis can generate speech that is indistinguishable from natural speech. However, the synthetic speech often represents the average prosodic style of the database instead of having more versatile prosodic variation. Moreover, many models lack the ability to control th…
In the analysis of speech production, information about the voice source can be obtained non-invasively with glottal inverse filtering (GIF) methods. Current state-of-the-art GIF methods are capable of producing high-quality estimates in suitable conditions (e.g. low noise and reverberation), but th…