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 …

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 …

In recognition-synthesis based any-to-one voice conversion (VC), an automatic speech
recognition (ASR) model is employed to extract content-related features and a synthesizer is …

Voice conversion models have developed for decades, and current mainstream research
focuses on non-streaming voice conversion. However, streaming voice conversion is more …

In this work, we present the system to detect the liveness by identifying the pop noise in the
voice signal in order to avoid the security breach of ASV systems. Pop noise is created due …

Speech generation aims to synthesize human-like voices from the input of text or speech.
Current speech generation techniques can generate high quality, natural-sounding speech …

Techniques of voice conversion (VC) aim to modify the speaker identity and style of an
utterance while preserving the linguistic content. Although there are lots of VC methods, the …

In this paper, we propose a non-parallel any-to-many voice conversion (VC) method termed
VoiceGrad. Inspired by WaveGrad, a recently introduced novel waveform generation …