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Uncertainty as a Predictor: Leveraging Self-Supervised Learning for
  Zero-Shot MOS Prediction

Uncertainty as a Predictor: Leveraging Self-Supervised Learning for Zero-Shot MOS Prediction

25 December 2023
Aditya Ravuri
Erica Cooper
Junichi Yamagishi
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Uncertainty as a Predictor: Leveraging Self-Supervised Learning for Zero-Shot MOS Prediction"

10 / 10 papers shown
Title
SpeechLMScore: Evaluating speech generation using speech language model
SpeechLMScore: Evaluating speech generation using speech language model
Soumi Maiti
Yifan Peng
Takaaki Saeki
Shinji Watanabe
ALM
63
32
0
08 Dec 2022
Predicting within and across language phoneme recognition performance of
  self-supervised learning speech pre-trained models
Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models
Han Ji
T. Patel
O. Scharenborg
105
8
0
24 Jun 2022
DDOS: A MOS Prediction Framework utilizing Domain Adaptive Pre-training
  and Distribution of Opinion Scores
DDOS: A MOS Prediction Framework utilizing Domain Adaptive Pre-training and Distribution of Opinion Scores
Wei-Cheng Tseng
Wei-Tsung Kao
Hung-yi Lee
62
21
0
07 Apr 2022
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
Qiantong Xu
Alexei Baevski
Michael Auli
VLM
133
90
0
23 Sep 2021
Layer-wise Analysis of a Self-supervised Speech Representation Model
Layer-wise Analysis of a Self-supervised Speech Representation Model
Ankita Pasad
Ju-Chieh Chou
Karen Livescu
SSL
74
308
0
10 Jul 2021
Utilizing Self-supervised Representations for MOS Prediction
Utilizing Self-supervised Representations for MOS Prediction
Wei-Cheng Tseng
Chien-yu Huang
Wei-Tsung Kao
Yist Y. Lin
Hung-yi Lee
SSL
85
65
0
07 Apr 2021
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
295
5,837
0
20 Jun 2020
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
114
3,156
0
01 Apr 2019
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
166
3,472
0
07 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
843
9,346
0
06 Jun 2015
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