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-1.0.7.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9f0a5b7af041b8ec354937860aa6bb3ae87914c1fcc4d5fe28db8640e0d170be |
|
MD5 | 4f35abcba218cf6ca8f5ec34f419866c |
|
BLAKE2b-256 | b7dba531c1596ea285823a398fe16d7a7b54e2d771c720812b1124a9aa79dfb3 |
Close
Hashes for audio_classification_models-1.0.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | aee57ec5c568d243c1f75601441435d795f062965c95392b08eaea00ad977e9d |
|
MD5 | 597a021be6afa5dbeefd78fa16a053d6 |
|
BLAKE2b-256 | cf9793720180aabff5d88207b9516b48e55f522ffd57be3c3fd95a4d74c64c14 |