1. Abdel-Hamid, O., Mohamed, A.-r., Jiang, H., Penn, G., 2012. Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition. In: Proc. ICASSP. pp. 4277–4280.
2. Amodei, D., Ananthanarayanan, S., Anubhai, R., Bai, J., Battenberg, E., Case, C., Casper, J., Catanzaro, B., Cheng, Q., Chen, G., et al., 2016. Deep speech 2: End-to-end speech recognition in English and Mandarin. In: Proc. Int. Conf. Mach. Learn.. pp. 173–182.
3. Perceptual information loss due to impaired speech production;Asaei;IEEE/ACM Trans. Audio Speech Lang. Process.,2017
4. Detecting dysfluencies in stuttering therapy using wav2vec 2.0;Bayerl,2022
5. Bhat, C., Das, B., Vachhani, B., Kopparapu, S.K., 2018. Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder. In: Proc. INTERSPEECH. pp. 451–455.