Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0

Author:

Bayerl Sebastian Peter,Wagner Dominik,Noeth Elmar,Riedhammer Korbinian

Publisher

ISCA

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Stuttering Detection: A Syllable-Level Stutter Dataset;2024 International Conference on Signal Processing and Communications (SPCOM);2024-07-01

2. Aprendizado de máquina no apoio à transcrição e classificação da fala gaguejada: uma revisão sistemática da literatura;Anais do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2024);2024-06-25

3. A novel attention model across heterogeneous features for stuttering event detection;Expert Systems with Applications;2024-06

4. Distilling Distributional Uncertainty from a Gaussian Process;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Towards Interpretability of Automatic Phoneme Analysis in Cleft Lip and Palate Speech;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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