Full single-type deep learning models with multihead attention for speech enhancement
Author:
Funder
Laboratorio Nacional de Supercómputo del Sureste de Mexico
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04571-y.pdf
Reference33 articles.
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2. Fan C, Yi J, Tao J, et al (2021) Gated recurrent fusion with joint training framework for robust end-to-end speech recognition. IEEE/ACM Trans Audio Speech Language Process 29:198–209. https://doi.org/10.1109/TASLP.2020.3039600
3. Galassi A, Lippi M, Torroni P (2020) Attention in natural language processing. IEEE Trans Neural Netw Learn Syst 32(10):4291–4308. https://doi.org/10.1109/TNNLS.2020.3019893
4. Garofolo J, Lamel L, Fisher W et al (1992) Timit acoustic-phonetic continuous speech corpus. Linguis Data Consortium. https://doi.org/10.35111/17gk-bn40
5. Hatzopoulos S, Ciorba AH, Skarzynski P (eds) (2020) The human auditory system - basic features and updates on audiological diagnosis and therapy. IntechOpen, Rijeka. https://doi.org/10.5772/intechopen.77713
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