1 citations · 2 across the 4 of their papers we have counts for
4 papers
Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study
Menglong Cui, Pengzhi Gao, Wei Liu +2
Large language models (LLMs) have shown continuously improving multilingual capabilities, and even small-scale open-source models have demonstrated rapid performance enhancement. I…
Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation
Maohao Shen, Shun Zhang, Jilong Wu +5
Large language models (LLMs) have revolutionized natural language processing (NLP) with impressive performance across various text-based tasks. However, the extension of text-domin…
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…
Multi-Task Learning for Front-End Text Processing in TTS
Wonjune Kang, Yun Wang, Shun Zhang +2
We propose a multi-task learning (MTL) model for jointly performing three tasks that are commonly solved in a text-to-speech (TTS) front-end: text normalization (TN), part-of-speec…