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.
Between 2015 and 2022, men were more likely than women to be diagnosed with regional and/or distant stages of 20 nonreproductive solid cancer types in the United States, according to a study published ...
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 ...
Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Existing Brain-Computer Interface systems convert 1D EEG brain signals into 2D spectrograms to use image-based AI models. This conversion permanently destroys temporal phase information — the most ...
Abstract: Speech emotion recognition (SER) plays a pivotal role in affective computing and human-computer interaction, serving in scenarios such as intelligent voice assistants and mental health ...
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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