Emotional speech synthesis aims to synthesize human voices with various emotional effects.
The current studies are mostly focused on imitating an averaged style belonging to a specific …

Emotional voice conversion (EVC) seeks to convert the emotional state of an utterance while
preserving the linguistic content and speaker identity. In EVC, emotions are usually treated …

End-to-end singing voice synthesis (SVS) model VISinger can achieve better performance
than the typical two-stage model with fewer parameters. However, VISinger has several …

One-shot voice conversion (VC) aims to convert speech from any source speaker to an
arbitrary target speaker with only a few seconds of reference speech from the target speaker …

Foreign accent conversion (FAC) is the problem of generating a synthetic voice that has the
voice identity of a second-language (L2) learner and the pronunciation patterns of a native …

Recent singing-voice-synthesis (SVS) methods have achieved remarkable audio quality and
naturalness, yet they lack the capability to control the style attributes of the synthesized …

Many young children prefer speech based interfaces over text, as they are relatively slow
and error-prone with text input. However, children ASR can be challenging due to the lack of …

The prominent and early presence of dysphonia is considered a valuable marker for
differentiation of idiopathic Parkinson's disease and parkinsonian syndromes. Objective …

Previous speech synthesis models from articulatory movements recorded using real-time
MRI (rtMRI) only predicted vocal tract shape parameters and required additional pitch …

This paper presents our systems (denoted as T13) for the singing voice conversion
challenge (SVCC) 2023. For both in-domain and cross-domain English singing voice …