Results 1 to 10 of about 70,241 (282)
Elektronika ir Elektrotechnika, 2022 Three main approaches on how audio signals can be used as input to a deep learning model are: extracting hand-crafted features from audio signals, mapping audio signals into appropriate images such as spectrogram-like ones, and using directly raw audio ...
Dejan G. Ciric +3 more
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Deep learning bird song recognition based on MFF-ScSEnet
Ecological Indicators, 2023 Bird diversity plays an important role in ecological balance, and bird song identification is of great practical significance. The spectrum generated by feature extraction shows good performance on classification.
Shipeng Hu +5 more
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EURASIP Journal on Advances in Signal Processing, 2010 A novel method, called adaptive pulse coupled neural network (AD-PCNN) using a two-stage denoising strategy, is proposed to reduce noise and speckle in the spectrograms of Doppler blood flow signals.
Haiyan Li, Yufeng Zhang, Dan Xu
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Application of Spectral Analysis in Spinning Measurements
AUTEX Research Journal, 2022 The presented analysis concerns the problem of irregularity in the mass distribution in linear textile products, its impact on the quality of flat products, and the methods of assessment.
Idzik Marek
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Spectrogram Analysis of Genomes [PDF]
EURASIP Journal on Advances in Signal Processing, 2004 We performed frequency-domain analysis in the genomes of various organisms using tricolor spectrograms, identifying several types of distinct visual patterns characterizing specific DNA regions. We relate patterns and their frequency characteristics to the sequence characteristics of the DNA.
Sussillo, David +2 more
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Multibeam Doppler Sensor-Based Non-Contact Heartbeat Detection Using Beam Diversity
IEEE Access, 2022 Heartbeat detection could enable various applications in the medical and health care fields. In particular, non-contact heartbeat detection can be acceptable for those who have difficulty wearing devices, such as burn patients and infants.
Tsukiko Kitagawa +3 more
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A Deep Neural Network Model for Speaker Identification
Applied Sciences, 2021 Speaker identification is a classification task which aims to identify a subject from a given time-series sequential data. Since the speech signal is a continuous one-dimensional time series, most of the current research methods are based on ...
Feng Ye, Jun Yang
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A Proposed Method for the Sound Recognition Process [PDF]
Engineering and Technology Journal, 2018 One of the most important issues in the signal-processing world is the issue of sounds differentiations. It has many applications in identifying the sources of the sounds, and many researches nowadays serves in this field and all of them looking for the ...
Azad Kareem, Marwa Jassim, Mustafa Ali
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Infant Cry Signal Diagnostic System Using Deep Learning and Fused Features
Diagnostics, 2023 Early diagnosis of medical conditions in infants is crucial for ensuring timely and effective treatment. However, infants are unable to verbalize their symptoms, making it difficult for healthcare professionals to accurately diagnose their conditions ...
Yara Zayed, Ahmad Hasasneh, Chakib Tadj
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Spectrogram Classification Using Dissimilarity Space [PDF]
Applied Sciences, 2020 In this work, we combine a Siamese neural network and different clustering techniques to generate a dissimilarity space that is then used to train an SVM for automated animal audio classification. The animal audio datasets used are (i) birds and (ii) cat sounds, which are freely available.
Loris Nanni +3 more
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