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https://www.selleckchem.com/pr....oducts/z-vad(oh)-fmk
Experiments are conducted on three datasets, including two SR tasks of Voxceleb and CN-celeb, and one LR task, NIST LRE 07. For SR, D-MONA improves on ResNet-34 results by at least 29% and 15% for Voxceleb1 and CN-celeb respectively. For the LR task, a large improvement is achieved over ResNet-34 of 21% for the challenging 3s utterance condition, 59% for the 10s condition and 67% for the 30s condition. It also outperforms the state-of-the-art deep bottleneck feature-DNN (DBF-DNN) x-vector system at all scales. Thyroid cancer is th
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