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Jun 21, 2022 · This technique improves the system recognition accuracy, text-independently with less sensitivity to noise and reverberation effects.
Sep 1, 2022 · This technique improves the system recognition accuracy, text-independently with less sensitivity to noise and reverberation effects.
Jun 23, 2022 · This technique improves the system recognition accuracy, text-independently with less sensitivity to noise and reverberation effects. The ASR ...
This technique improves the system recognition accuracy, text-independently with less sensitivity to noise and reverberation effects. The ASR system performance ...
Title. Performance enhancement of text-independent speaker recognition in noisy and reverberation conditions using Radon transform with deep learning.
This paper presents a new feature extraction technique for speaker recognition using Radon transform (RT) and discrete cosine transform (DCT).
Performance enhancement of text-independent speaker recognition in noisy and reverberation conditions using Radon transform with deep learning. Samia Abd El ...
Performance enhancement of text-independent speaker recognition in noisy and reverberation conditions using Radon transform with deep learning · LSTM RNN ...
Performance enhancement of text-independent speaker recognition in noisy and reverberation conditions using Radon transform with deep learning · S. A. El ...
Performance enhancement of text-independent speaker recognition in noisy and reverberation conditions using Radon transform with deep learning · Computer Science ...