Skip to main content

Tensorflow Audio Classification Models. https://github.com/awsaf49/audio_classification_models

Project description

python tensorflow

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

audio_classification_models-1.0.4.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

audio_classification_models-1.0.4-py3-none-any.whl (17.1 kB view details)

Uploaded Python 3

File details

Details for the file audio_classification_models-1.0.4.tar.gz.

File metadata

File hashes

Hashes for audio_classification_models-1.0.4.tar.gz
Algorithm Hash digest
SHA256 0ade0f02da91906b0a04bd047d313c85395418e93aa9252d647af9c6fd3f4974
MD5 7773aaf083122d3a2f54a316424117ed
BLAKE2b-256 b0879c1c88ba5b2a612ab597eff90a027ffac3d50290a62ffc6db08c2fd69804

See more details on using hashes here.

File details

Details for the file audio_classification_models-1.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for audio_classification_models-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 d8ce442a0e5ce5515064a8d4fcbaa394f3553120ca2ed98fa8f7644d99b6a678
MD5 65bd9351b1a278a25d27ef4f60c36401
BLAKE2b-256 c82ca59d6b7585d83f6e4d7dfdf21a41affb6616d7ac3dfdc0104936c13bc345

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page