3 papers
eess.AS2025
Improving Resource-Efficient Speech Enhancement via Neural Differentiable DSP Vocoder Refinement
Heitor R. Guimarães, Ke Tan, Juan Azcarreta +4
Deploying speech enhancement (SE) systems in wearable devices, such as smart glasses, is challenging due to the limited computational resources on the device. Although deep learnin…
cs.SD2024
Ultra-lightweight Neural Differential DSP Vocoder For High Quality Speech Synthesis
Prabhav Agrawal, Thilo Koehler, Zhiping Xiu +2
Neural vocoders model the raw audio waveform and synthesize high-quality audio, but even the highly efficient ones, like MB-MelGAN and LPCNet, fail to run real-time on a low-end de…
cs.SD2022
Towards zero-shot Text-based voice editing using acoustic context conditioning, utterance embeddings, and reference encoders
Jason Fong, Yun Wang, Prabhav Agrawal +4
Text-based voice editing (TBVE) uses synthetic output from text-to-speech (TTS) systems to replace words in an original recording. Recent work has used neural models to produce edi…