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Introducing ECAPA-TDNN and Wav2Vec2.0 Embeddings to Stuttering Detection

Introducing ECAPA-TDNN and Wav2Vec2.0 Embeddings to Stuttering Detection

4 April 2022
S. A. Sheikh
Md. Sahidullah
F. Hirsch
Slim Ouni
ArXivPDFHTML

Papers citing "Introducing ECAPA-TDNN and Wav2Vec2.0 Embeddings to Stuttering Detection"

8 / 8 papers shown
Title
Selfsupervised learning for pathological speech detection
Selfsupervised learning for pathological speech detection
S. A. Sheikh
28
0
0
16 May 2024
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained
  Models and Bayesian Inference
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference
Dejan Porjazovski
Yaroslav Getman
Tamás Grósz
M. Kurimo
20
3
0
16 Oct 2023
Investigation of Self-supervised Pre-trained Models for Classification
  of Voice Quality from Speech and Neck Surface Accelerometer Signals
Investigation of Self-supervised Pre-trained Models for Classification of Voice Quality from Speech and Neck Surface Accelerometer Signals
Sudarsana Reddy Kadiri
Farhad Javanmardi
P. Alku
14
6
0
06 Aug 2023
Unsupervised speech intelligibility assessment with utterance level
  alignment distance between teacher and learner Wav2Vec-2.0 representations
Unsupervised speech intelligibility assessment with utterance level alignment distance between teacher and learner Wav2Vec-2.0 representations
Nayan Anand
Meenakshi Sirigiraju
Chiranjeevi Yarra
25
1
0
15 Jun 2023
Towards Robust Family-Infant Audio Analysis Based on Unsupervised
  Pretraining of Wav2vec 2.0 on Large-Scale Unlabeled Family Audio
Towards Robust Family-Infant Audio Analysis Based on Unsupervised Pretraining of Wav2vec 2.0 on Large-Scale Unlabeled Family Audio
Jialu Li
M. Hasegawa-Johnson
Nancy L. McElwain
23
11
0
21 May 2023
End-to-End and Self-Supervised Learning for ComParE 2022 Stuttering
  Sub-Challenge
End-to-End and Self-Supervised Learning for ComParE 2022 Stuttering Sub-Challenge
S. A. Sheikh
Md. Sahidullah
F. Hirsch
Slim Ouni
SSL
14
9
0
20 Jul 2022
Machine Learning for Stuttering Identification: Review, Challenges and
  Future Directions
Machine Learning for Stuttering Identification: Review, Challenges and Future Directions
S. A. Sheikh
Md. Sahidullah
F. Hirsch
Slim Ouni
26
48
0
08 Jul 2021
SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With
  People Who Stutter
SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter
Colin S. Lea
Vikramjit Mitra
A. Joshi
S. Kajarekar
Jeffrey P. Bigham
27
93
0
24 Feb 2021
1