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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

24 June 2022
Han Ji
T. Patel
O. Scharenborg
ArXivPDFHTML

Papers citing "Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models"

6 / 6 papers shown
Title
Speech Representation Analysis based on Inter- and Intra-Model
  Similarities
Speech Representation Analysis based on Inter- and Intra-Model Similarities
Yassine El Kheir
Ahmed M. Ali
Shammur A. Chowdhury
SSL
36
2
0
23 Jun 2024
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
Aditya Ravuri
Erica Cooper
Junichi Yamagishi
UQCV
33
3
0
25 Dec 2023
Boosting End-to-End Multilingual Phoneme Recognition through Exploiting
  Universal Speech Attributes Constraints
Boosting End-to-End Multilingual Phoneme Recognition through Exploiting Universal Speech Attributes Constraints
Hao Yen
Sabato Marco Siniscalchi
Chin-Hui Lee
28
1
0
16 Sep 2023
Self-Supervised Video Transformers for Isolated Sign Language
  Recognition
Self-Supervised Video Transformers for Isolated Sign Language Recognition
Marcelo Sandoval-Castaneda
Yanhong Li
D. Brentari
Karen Livescu
Gregory Shakhnarovich
SLR
13
2
0
02 Sep 2023
What Do Self-Supervised Speech Models Know About Words?
What Do Self-Supervised Speech Models Know About Words?
Ankita Pasad
C. Chien
Shane Settle
Karen Livescu
SSL
27
26
0
30 Jun 2023
Comparative layer-wise analysis of self-supervised speech models
Comparative layer-wise analysis of self-supervised speech models
Ankita Pasad
Bowen Shi
Karen Livescu
SSL
22
109
0
08 Nov 2022
1