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eess.AS2025
Improving Test-Time Performance of RVQ-based Neural Codecs
Hyeongju Kim, Junhyeok Lee, Jacob Morton +2
The residual vector quantization (RVQ) technique plays a central role in recent advances in neural audio codecs. These models effectively synthesize high-fidelity audio from a limi…
eess.AS2025
MaskVCT: Masked Voice Codec Transformer for Zero-Shot Voice Conversion With Increased Controllability via Multiple Guidances
Junhyeok Lee, Helin Wang, Yaohan Guan +4
We introduce MaskVCT, a zero-shot voice conversion (VC) model that offers multi-factor controllability through multiple classifier-free guidances (CFGs). While previous VC models r…
eess.AS2025
CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech
Helin Wang, Jiarui Hai, Dading Chong +11
Recent advancements in generative artificial intelligence have significantly transformed the field of style-captioned text-to-speech synthesis (CapTTS). However, adapting CapTTS to…