SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis

6 April 2022

Papers citing "SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis"

6 / 6 papers shown

Title
Enabling Auditory Large Language Models for Automatic Speech Quality Evaluation Siyin Wang Wenyi Yu Yudong Yang Changli Tang Yixuan Li ... Jun Zhang Guangzhi Sun Lu Lu Yuxuan Wang Chao Zhang AuLLM LM&MA 72 5 0 25 Sep 2024
The T05 System for The VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech Kaito Baba Wataru Nakata Yuki Saito Hiroshi Saruwatari VLM 36 8 0 14 Sep 2024
The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction Wen-Chin Huang Szu-Wei Fu Erica Cooper Ryandhimas E. Zezario T. Toda Hsin-Min Wang Junichi Yamagishi Yu Tsao 32 6 0 11 Sep 2024
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting Haibo Wang Shiwan Zhao Xiguang Zheng Yong Qin 34 12 0 31 Aug 2023
The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech P. Do Matt Coler J. Dijkstra E. Klabbers OffRL 29 0 0 01 Jun 2023
Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages P. Do Matt Coler J. Dijkstra E. Klabbers 32 3 0 30 May 2023