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[tf2.6]" # or pip install -U "audio_classification_models[tf2.6-gpu]"
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-1.0.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7cc1c1bfb9ee4561e47ab32766121f4f2f6a44b17aa1ea4288ae23e6c39d6145 |
|
MD5 | 314dee84c330f7dc9b34198adf6f7b23 |
|
BLAKE2b-256 | 763b07de099b7d4121e5277b5504b2321a2485b30a20a1868f442806e1d976f0 |
Close
Hashes for audio_classification_models-1.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a6395263b4e17a659399d03160a311302153464ebd9ddf5e7774de276cfb49cc |
|
MD5 | 25aea9a0921b7fa8bd4d971700c53521 |
|
BLAKE2b-256 | c360680a424e5164da7c41eaa4ea01beee5778dcb17dc9223ca1bb326afcb759 |