Tensorflow Audio Classification Models. https://github.com/awsaf49/audio_classification_models
Project description
Audio Classification Models in Tensorflow 2.0
This library utilizes some automatic speech recognition architectures such as ContextNet, Conformer, etc for audio classification.
Installation
pip install -U audio_classification_models
or
pip install git+https://github.com/awsaf49/audio_classification_models
Usage
import audio_classification_models as acm
model = acm.Conformer(pretrain=True)
Acknowledgement
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for audio_classification_models-1.0.6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2fdfcbd9a0140a1c928b56511aedfb701df4c9f60f9ef38e4b02c0a1f71e1b1c |
|
MD5 | c721d30e9b3d0f6cc7320bcf23286de9 |
|
BLAKE2b-256 | a3667fad317a2eb4cdc63af244711fd5ab766aeb34de758292527636ceb0ada7 |
Close
Hashes for audio_classification_models-1.0.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6e22785e7b9ef847628428cded8c5d951b6c0098131117940f1396c0a04c44e0 |
|
MD5 | eeb968b59915d9a0f9a1dc03b6d3cbf9 |
|
BLAKE2b-256 | e7577167060992ccb9f23648ef1a11bf2def294488c9127b6414b36c1022cb90 |