# ksanjeevan/crnn-audio-classification

<https://repo.masters-masters.com/en/repos/ksanjeevan/crnn-audio-classification>

[Home](https://repo.masters-masters.com/en) › [ksanjeevan](https://repo.masters-masters.com/en/owners/ksanjeevan) › [crnn-audio-classification](https://repo.masters-masters.com/en/repos/ksanjeevan/crnn-audio-classification)

ksanjeevan/crnn-audio-classification has 392 stars on GitHub. Its RepoMasters card: Alpha tier. UrbanSound classification using Convolutional Recurrent…

| Field | Value |
| --- | --- |
| Owner | [ksanjeevan](https://repo.masters-masters.com/en/owners/ksanjeevan) |
| Stars | 392 |
| Forks | 81 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | audio, lstm, crnn, spectrogram, melspectrogram, convnet, rnn, audio-classification, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ksanjeevan/crnn-audio-classification](https://github.com/ksanjeevan/crnn-audio-classification) |

## Repository

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.