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Using Rater and System Metadata to Explain Variance in the VoiceMOS
  Challenge 2022 Dataset

Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Dataset

14 September 2022
Michael Chinen
Jan Skoglund
Chandan K. A. Reddy
Alessandro Ragano
Andrew Hines
ArXiv (abs)PDFHTML

Papers citing "Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Dataset"

9 / 9 papers shown
Title
The VoiceMOS Challenge 2022
The VoiceMOS Challenge 2022
Wen-Chin Huang
Erica Cooper
Yu Tsao
Hsin-Min Wang
Tomoki Toda
Junichi Yamagishi
60
108
0
21 Mar 2022
HuBERT: Self-Supervised Speech Representation Learning by Masked
  Prediction of Hidden Units
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu
Benjamin Bolte
Yao-Hung Hubert Tsai
Kushal Lakhotia
Ruslan Salakhutdinov
Abdel-rahman Mohamed
SSL
180
2,989
0
14 Jun 2021
DNSMOS: A Non-Intrusive Perceptual Objective Speech Quality metric to
  evaluate Noise Suppressors
DNSMOS: A Non-Intrusive Perceptual Objective Speech Quality metric to evaluate Noise Suppressors
Chandan K. A. Reddy
Vishak Gopal
Ross Cutler
72
313
0
28 Oct 2020
SESQA: semi-supervised learning for speech quality assessment
SESQA: semi-supervised learning for speech quality assessment
Joan Serrà
Jordi Pons
Santiago Pascual
43
42
0
01 Oct 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech
  Representations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski
Henry Zhou
Abdel-rahman Mohamed
Michael Auli
SSL
288
5,837
0
20 Jun 2020
MOSNet: Deep Learning based Objective Assessment for Voice Conversion
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
272
0
17 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLMFaML
111
3,156
0
01 Apr 2019
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram
  Predictions
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
Jonathan Shen
Ruoming Pang
Ron J. Weiss
M. Schuster
Navdeep Jaitly
...
Yuxuan Wang
RJ Skerry-Ryan
Rif A. Saurous
Yannis Agiomyrgiannakis
Yonghui Wu
79
2,701
0
16 Dec 2017
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
406
7,405
0
12 Sep 2016
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