Speech is the fundamental mode of human communication, and its synthesis has long been
a core priority in human–computer interaction research. In recent years, machines have …

The StarGANv2-VC model is a many-to-many non-parallel generative adversarial network
(GAN) voice conversion (VC) model that has proven effective in style conversion tasks. This …

E2E-S2S-VC: End-to-end sequence-to-sequence voice conversion Page 1 E2E-S2S-VC:
End-to-end sequence-to-sequence voice conversion Takuma Okamoto1, Tomoki Toda2,1 …

Emotional voice conversion involves modifying the pitch, spectral envelope, and other
acoustic characteristics of speech to match a desired emotional state while maintaining the …

Audio-based kinship verification (AKV) is important in many domains, such as home security
monitoring, forensic identification, and social network analysis. A key challenge in the task …

Realistic emotional voice conversion (EVC) aims to enhance emotional diversity of
converted audios, making the synthesized voices more authentic and natural. To this end …

Emotional text-to-speech (TTS) technology has achieved significant progress in recent
years; however, challenges remain owing to the inherent complexity of emotions and …

ABSTRACT Emotional Voice Conversion (EVC) for under-resourced languages like Arabic
faces challenges due to limited emotional speech data. This study explored strategies to …

Emotional voice conversion (EVC) aims to convert the emotional state of an utterance from
one emotion to another while preserving the linguistic content and speaker identity. Current …

Abstract Emotional Voice Conversion (EVC) for under-resourced languages like Arabic
faces challenges due to limited emotional speech data. This study explored strategies to …