Google speech_embedding/1 (TensorFlow1 / speech-embedding / version 1)
Original work published by Google under the Apache License, Version 2.0.
Source: https://www.kaggle.com/models/google/speech-embedding/TensorFlow1/speech-embedding/1
Original archive SHA-256:
0f626c42009c1eb916401b7b2800229a211e43100115bc591b9afbf1b60da27f

Paper: James Lin, Kevin Kilgour, Dominik Roblek, Matthew Sharifi,
"Training Keyword Spotters with Limited and Synthesized Speech Data",
arXiv:2002.01322. https://arxiv.org/abs/2002.01322

This repository contains a PyTorch conversion made by Drew Bednar for naptrap.
It is not affiliated with or endorsed by Google.

Modifications to the original work:
- the TensorFlow graph was re-implemented with PyTorch operations;
- HWIO convolution kernels were transposed to OIHW;
- the original inference-time spatial-mean subtraction was applied to the
  first convolution kernel ahead of time;
- the weights were stored in safetensors format.
All trained parameters, normalization statistics and frontend constants are
otherwise unchanged. No training or fine-tuning was performed.

The original archive contained no NOTICE file.