ReptoNet: A 3D Log Mel Spectrogram-Based Few-Shot Speaker Identification with Reptile Algorithm
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-024-09426-3.pdf
Reference48 articles.
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2. Vogt, R.; Sridharan, S.; Mason, M.: Making confident speaker verification decisions with minimal speech. IEEE Trans. Audio Speech Lang. Process. 18, 1182–1192 (2009). https://doi.org/10.1109/TASL.2009.2031505
3. Saritha, B.; Laskar, M.A.; Laskar, R.H.: A comprehensive review on speaker recognition. In: Advances in Speech and Music Technology: Computational Aspects and Applications (2023). https://doi.org/10.1007/978-3-031-18444-4_1
4. Jadon, S.; Jadon, A.: An overview of deep learning architectures in few-shot learning domain, pp. 1–11. arXiv: 2008.06365 (2020). https://doi.org/10.13140/RG.2.2.31573.24803/1
5. Klejch, O.; Fainberg, J.; Bell, P.: Learning to adapt: a meta-learning approach for speaker adaptation. Interspeech (2018). https://doi.org/10.21437/Interspeech.2018-1244
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