Publisher
Springer Nature Switzerland
Reference13 articles.
1. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)
2. Tak, H., Patil, H.A.: Novel linear frequency residual cepstral features for replay attack detection. In: INTERSPEECH 2018, Hyderabad, India, pp. 726–730 (2018)
3. Gupta, P., Patil, H.A.: Linear frequency residual cepstral features for replay spoof detection on ASVSpoof 2019. In: 30th European Signal Processing Conference (EUSIPCO), pp. 349–353 (2022)
4. Tripathi, S., Kumar, A., Ramesh, A., Singh, C., Yenigalla, P.: Focal loss based residual convolutional neural network for speech emotion recognition (2019)
5. Makhoul, J.: Linear prediction: a tutorial review. Proc. IEEE 63, 561–580 (1975)