2 citations · 2 across the 2 of their papers we have counts for
3 papers
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.SD2020★ 2 cited
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge
Bichen Wu, Qing He, Peizhao Zhang +3
Nowadays more and more applications can benefit from edge-based text-to-speech (TTS). However, most existing TTS models are too computationally expensive and are not flexible enoug…
cs.SD2020
Interactive Text-to-Speech System via Joint Style Analysis
Yang Gao, Weiyi Zheng, Zhaojun Yang +3
While modern TTS technologies have made significant advancements in audio quality, there is still a lack of behavior naturalness compared to conversing with people. We propose a st…