Speaker Recognition with Deep Learning Approaches: A Review
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3289-0_39
Reference71 articles.
1. Al-Karawi KA, Al-Noori AH, Li FF, Ritchings T (2015) Automatic speaker recognition system in adverse conditions-implication of noise and reverberation on system performance. Int J Inf Electron Eng 5:423
2. Al-Karawi KA, Li F (2017) Robust speaker verification in reverberant conditions using estimated acoustic parameters—a maximum likelihood estimation and training on the fly approach. In: 2017 seventh international conference on innovative computing technology (INTECH), pp 52–57
3. Al-Karawi KA, Ahmed ST (2021) Model selection toward robustness speaker verification in reverberant conditions. Multimedia Tools Appl 1–18
4. Al-Karawi KA (2021) Mitigate the reverberation effect on the speaker verification performance using different methods. Int J Speech Technol 24:143–153
5. Waghmare K, Gawali B (2022) Speaker recognition for forensic application: a review. J Positive School Psychol 6:984–992
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