Deep-CNN-for-Audio-Signal-Classification

Deep-CNN-for-Audio-Signal-Classification

MadsDoodle

This repository contains an end-to-end pipeline to train a convolutional neural network (CNN) for environmental sound classification on ESC-50. Serve the model for inference using Modal + a FastAPI endpoint. - Visualize model outputs (top predictions, input mel-spectrogram, waveform, and CNN feature maps).

9 Stars
0 Forks
0 Watchers
Python Language
45 SrcLog Score
Cost to Build
$16.2K
Market Value
$14.6K

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6 data points  ·  2026-04-15 → 2026-09-22
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What is the MadsDoodle/Deep-CNN-for-Audio-Signal-Classification GitHub project? Description: "This repository contains an end-to-end pipeline to train a convolutional neural network (CNN) for environmental sound classification on ESC-50. Serve the model for inference using Modal + a FastAPI endpoint. - Visualize model outputs (top predictions, input mel-spectrogram, waveform, and CNN feature maps).". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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