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Performance of Training Sparse Deep Neural Networks on GPUs
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Two Proposed Vehicle Insurance Pricing Frameworks Based on Federated Machine Learning
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A Novel Singer Identification Method Using GMM-UBM
This paper presents a novel method for singer identification from polyphonic music audio signals. It is based on the universal …
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A Novel Singer Identification Method Using GMM-UBM
A Practical Singing Voice Detection System Based on GRU-RNN
In this paper, we present a practical three-step approach for singing voice detection based on a gated recurrent unit (GRU) recurrent …
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A Practical Singing Voice Detection System Based on GRU-RNN
Music Summary Detection with State Space Embedding and Recurrence Plot
Automatic music summary detection is a task that identifies the most representative part of a song, facilitating users to retrieve the …
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Music Summary Detection with State Space Embedding and Recurrence Plot
A Noise-Robust Self-Adaptive Multitarget Speaker Detection System
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Automated Full Quantification of Left Ventricle with Deep Neural Networks
Accurate cardiac left ventricle (LV) quantification is among the most clinically important and most frequently demanded tasks for …
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Video-Based Pig Recognition with Feature-Integrated Transfer Learning
Automatic detection and recognition of animals has long been a popular topic. It can be used on different areas, such as ecosystem …
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Assistance of Speech Recognition in Noisy Environment with Sentence Level Lip-Reading
Acoustic speech recognition, as a technique to decode text from a speech, receives a great success in recent years. The trained model …
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Prioritized Grid Highway Long Short-Term Memory-Based Universal Background Model for Speaker Verification
Prioritized grid long short-term memory (pGLSTM) has been shown to improve automatic speech recognition efficiently. In this paper, we …
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