3 papers
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
SupertonicTTS: Towards Highly Efficient and Streamlined Text-to-Speech System
Hyeongju Kim, Jinhyeok Yang, Yechan Yu +5
We introduce SupertonicTTS, a novel text-to-speech (TTS) system designed for efficient and streamlined speech synthesis. SupertonicTTS comprises three components: a speech autoenco…
eess.AS2025
Length-Aware Rotary Position Embedding for Text-Speech Alignment
Hyeongju Kim, Juheon Lee, Jinhyeok Yang +1
Many recent text-to-speech (TTS) systems are built on transformer architectures and employ cross-attention mechanisms for text-speech alignment. Within these systems, rotary positi…