Deep Learning Based Assessment of Synthetic Speech Naturalness

Deep Learning Based Assessment of Synthetic Speech Naturalness

23 April 2021

Sebastian Möller

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Papers citing "Deep Learning Based Assessment of Synthetic Speech Naturalness"

5 / 5 papers shown

Title
VoiceCloak: A Multi-Dimensional Defense Framework against Unauthorized Diffusion-based Voice Cloning Qianyue Hu Junyan Wu Wei Lu Xiangyang Luo DiffM AAML 63 0 0 18 May 2025
Full-Reference Speech Quality Estimation with Attentional Siamese Neural Networks Gabriel Mittag Sebastian Möller 48 10 0 03 May 2021
MOSNet: Deep Learning based Objective Assessment for Voice Conversion Chen-Chou Lo Szu-Wei Fu Wen-Chin Huang Xin Wang Junichi Yamagishi Yu Tsao H. Wang 52 271 0 17 Apr 2019
The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods Jaime Lorenzo-Trueba Junichi Yamagishi Tomoki Toda Daisuke Saito F. Villavicencio Tomi Kinnunen Zhenhua Ling 59 320 0 12 Apr 2018
AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech Brian Patton Yannis Agiomyrgiannakis Michael Terry K. Wilson Rif A. Saurous D. Sculley 60 83 0 28 Nov 2016

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