Audio Anomaly Detection for Choking

[ShaikArshidBanu]

Description
Develop a system to detect anomalies in audio, specifically focusing on identifying choking sounds using unsupervised learning
techniques such as autoencoders or Isolation Forest.

Motivation
-Timely detection of choking incidents can significantly improve response times and potentially save lives.
-Implementing an audio anomaly detection system will help in providing real-time alerts for potential choking sounds.

• Implement real-time audio processing to continuously monitor and analyze incoming audio.
• Develop an alert system that triggers notifications when anomalies (choking sounds) are detected.

Expected Outcome

• A reliable system to detect choking sounds from audio data, providing real-time alerts and facilitating quick response and assistance.

@TAHIR0110 I am GSSOC'24 contributor and would like to work on this issue, can you please assign this issue to me.

[github-actions]

Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.

[TAHIR0110]

@ShaikArshidBanu I appreciate this issue considering the fact that this enhancement would help a lot for choking detection. Therefore, I'm labelling it as a level3 issue and would expect a good model as we would check the real-time working of the issue as well and then only we would merge the PR, else I'll label it as label2.