IIRI-Net: An interpretable convolutional front-end inspired by IIR filters for speaker identification

Author:

Fayyazi Hossein,Shekofteh YasserORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference34 articles.

1. Explaining Deep Learning Models for Spoofing and Deepfake Detection With SHapley Additive ExPlanations;Ge,2022

2. Interpretable representation learning for speech and audio signals based on relevance weighting;Agrawal;IEEE/ACM Trans. Audio, Speech, Language Process.,2020

3. TrAnsformer VAe: A HierArchicAl Model for Structure-AwAre and InterpretAble Music RepresentAtion LeArning;Jiang,2020

4. Speaker Recognition From Raw Waveform With Sincnet;Ravanelli,2018

5. Lyon, R.F., Human and machine hearing: extracting meaning from sound. 2017: Cambridge University Press.

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