GitHub

Generating sound spectrograms using short-time Fourier transform that can be used for purposes such as sound classification by machine learning algorithms.

I needed an audio spectrogram generator for a machine learning algorithm I wanted to produce, but all the codes I encountered were missing, old or incorrect. The problem I encountered in all the codes ...
GitHub

Environmental-sound-recognition-using-combination-of-spectrogram-and-acoustic-features

Please refer to the paper below for more information of the algorithm and results https://ijret.org/volumes/2017v06/i10/IJRET20170610015.pdf Minimum,mean, median ...
IEEE

Spectrogram-based detection of crackles from lung sounds

Abstract: Analyzing lung sound helps in identifying the associated pathological condition. Auscultation is the common tool used for categorizing the lung sounds. Computer based analysis of lung sounds ...
Europe PMC

Emotional sounds of crowds: spectrogram-based analysis using deep learning.

Crowds express emotions as a collective individual, which is evident from the sounds that a crowd produces in particular events, e.g., collective booing, laughing or cheering in sports matches, movies ...
Analytics India Magazine

Hands-On Tutorial on Visualizing Spectrograms in Python

Spectrograms are essential tools for visualising time-evolving data such as audio and sound waves. They plot time on the x-axis, frequency on the y-axis, and amplitude on the z-axis, offering a ...
IEEE

COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers

Abstract: Monitoring of prevalent airborne diseases such as COVID-19 characteristically involves respiratory assessments. While auscultation is a mainstream method for preliminary screening of disease ...