Submission to the HEAR2021 Challenge

Related tags

MiscellaneousHEAR2021_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

    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)
Owner
Heinrich Dinkel
日新月异
Heinrich Dinkel
GitHub Repository
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