Underwater target recognition using convolutional recurrent neural networks with 3-D Mel-spectrogram and data augmentation
Sign Up to like & getrecommendations! Published in 2021 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2021.107989
Abstract: Abstract Passive recognition of underwater acoustic targets is a hot research issue in acoustic signal processing. The long-term interference of irregular noise in the marine environment caused the relevance of the passive recognition method of… read more here.
Keywords: mel spectrogram; convolutional recurrent; recurrent neural; data augmentation ... See more keywords
MIST-Tacotron: End-to-End Emotional Speech Synthesis Using Mel-Spectrogram Image Style Transfer
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3156093
Abstract: With the development of voice synthesis technology using deep learning, voice synthesis research that expresses the characteristics and emotions of speakers is actively being conducted. Current technology does not satisfactorily express various emotions and characteristics… read more here.
Keywords: tacotron; transfer; style; synthesis ... See more keywords
EEG driving fatigue detection based on log-Mel spectrogram and convolutional recurrent neural networks
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1136609
Abstract: Driver fatigue detection is one of the essential tools to reduce accidents and improve traffic safety. Its main challenge lies in the problem of how to identify the driver's fatigue state accurately. Existing detection methods… read more here.
Keywords: fatigue detection; mel spectrogram; detection; recurrent neural ... See more keywords