Submission to the HEAR2021 Challenge

Last update: Dec 08, 2022

Related tags

Miscellaneous HEAR2021_EfficientLatent

Overview

Submission to the HEAR 2021 Challenge

For model evaluation, python=3.8 and cuda10.2 with cudnn7.6.5 have been tested.

The work uses a mixed supervised and self-supervised training regime.

Usage

First install the package:

python3 -m pip install git+https://github.com/richermans/HEAR2021_EfficientLatent.git

Then just use it:

import efficient_latent

model = efficient_latent.load_model()

audio = torch.randn(1, 16000) # Sampling rate is 16000

time_embeddings = efficient_latent.get_timestamp_embeddings(audio, model)
#

clip_embeddings = efficient_latent.get_scene_embeddings(audio, model)
#

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Comments

Allow to get embeddings in training mode

People may want to use this model in their training tasks. So I think it should be helpful to allow users to use get_embeddings in training mode.

And a .gitignore was added at convenience.

opened by jimbozhang 0

Releases(v0.0.1)

v0.0.1(Oct 29, 2021)

Uploading model.
Source code(tar.gz)
Source code(zip)
effb2.pt(29.84 MB)

Owner

Heinrich Dinkel

日新月异

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13 Dec 11, 2022

Submission to the HEAR2021 Challenge

Related tags

Overview

Submission to the HEAR 2021 Challenge

Usage

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Comments

Allow to get embeddings in training mode

Releases(v0.0.1)

v0.0.1(Oct 29, 2021)

Owner

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