Results 1 to 10 of about 55,369 (264)

On accumulated spectrograms [PDF]

open access: greenTransactions of the American Mathematical Society, 2015
Comment: 21 pages, 3 ...
Luís Daniel Abreu   +2 more
openalex   +4 more sources

Evaluating Similarity of Spectrogram-like Images of DC Motor Sounds by Pearson Correlation Coefficient

open access: yesElektronika 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
doaj   +1 more source

Deep learning bird song recognition based on MFF-ScSEnet

open access: yesEcological 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
doaj   +1 more source

Noise and Speckle Reduction in Doppler Blood Flow Spectrograms Using an Adaptive Pulse-Coupled Neural Network

open access: yesEURASIP 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
doaj   +2 more sources

Multibeam Doppler Sensor-Based Non-Contact Heartbeat Detection Using Beam Diversity

open access: yesIEEE 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
doaj   +1 more source

A Deep Neural Network Model for Speaker Identification

open access: yesApplied 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
doaj   +1 more source

Spectrogram Analysis of Genomes [PDF]

open access: yesEURASIP 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
openaire   +3 more sources

A Proposed Method for the Sound Recognition Process [PDF]

open access: yesEngineering 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
doaj   +1 more source

Infant Cry Signal Diagnostic System Using Deep Learning and Fused Features

open access: yesDiagnostics, 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
doaj   +1 more source

Non-Contact Heartbeat Detection by Heartbeat Signal Reconstruction Based on Spectrogram Analysis With Convolutional LSTM

open access: yesIEEE Access, 2020
Heartbeat detection is one of key techniques to monitor our health condition in daily life, and demands for this technique have increased year and year.
Kohei Yamamoto, Tomoaki Ohtsuki
doaj   +1 more source

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