A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
Abstract: This paper proposes a parity recognition of blade number and manoeuvre intention classification algorithm of rotor target based on the convolutional neural network (CNN) using micro Doppler ...
Abstract: The increasing use of Voice over Internet Protocol (VoIP) technology in telecom fraud has become a serious global concern. Its ability to spoof caller IDs and IP addresses, and the use of ...
Paul Pu Liang, Yiwei Lyu, Xiang Fan, Zetian Wu, Yun Cheng, Jason Wu, Leslie Chen, Peter Wu, Michelle A. Lee, Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency NeurIPS 2021 Datasets and Benchmarks ...
The researchers treated 5‑month‑old 5xFAD mice – a model with aggressive amyloid deposition – with 810‑nm light (25 mW/cm² at the scalp, ~6.25 mW/cm² brain dose for CW, and half that for 40‑Hz due to ...
Key Features: Extract features like MFCCs (Mel-Frequency Cepstral Coefficients). Use models like CNN, RNN, or LSTM. Datasets: RAVDESS, TESS, or EMO-DB. Build the application of emotion recognition ...
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