Fine-tuning of Pre-trained End-to-end Speech Recognition with Generative
Adversarial Networks

Fine-tuning of Pre-trained End-to-end Speech Recognition with Generative Adversarial Networks

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021

10 March 2021

Md. Akmal Haidar

Mehdi Rezagholizadeh

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Papers citing "Fine-tuning of Pre-trained End-to-end Speech Recognition with Generative Adversarial Networks"

4 / 4 papers shown

Title
Improving Reliability of Fine-tuning with Block-wise Optimisation Basel Barakat Qiang Huang 133 1 0 15 Jan 2023
Efficient acoustic feature transformation in mismatched environments using a Guided-GANSpeech Communication (Speech Commun.), 2022 Walter Heymans Marelie Hattingh Davel C. van Heerden 205 1 0 03 Oct 2022
Personalized Adversarial Data Augmentation for Dysarthric and Elderly Speech RecognitionIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022 Zengrui Jin Mengzhe Geng Jiajun Deng Tianzi Wang Shujie Hu Guinan Li Xunying Liu 190 38 0 13 May 2022
Transformer-based ASR Incorporating Time-reduction Layer and Fine-tuning with Self-Knowledge DistillationInterspeech (Interspeech), 2021 Md. Akmal Haidar Chao Xing Mehdi Rezagholizadeh 166 6 0 17 Mar 2021