https://github.com/alienobserver/keyword-spotting

Keyword Spotting using RNN with Attention layers
https://github.com/alienobserver/keyword-spotting

attention-lstm deep-learning keyword-spotting rnn-tensorflow

Last synced: 21 days ago
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Keyword Spotting using RNN with Attention layers

• Host: GitHub
• URL: https://github.com/alienobserver/keyword-spotting
• Owner: alienobserver
• Created: 2023-06-30T12:52:45.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-06-30T13:04:30.000Z (almost 2 years ago)
• Last Synced: 2025-03-30T10:24:59.888Z (about 2 months ago)
• Topics: attention-lstm, deep-learning, keyword-spotting, rnn-tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 2.16 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# keyword-spotting

Keyword Spotting using RNN with Attention layers

The project uses Attention RNN to train the dataset, and Keras Generator to allocate the dataset dynamically.

Here are some visualizations of the dataset

![download (2)](https://github.com/alienobserver/keyword-spotting/assets/59918929/97430fe8-526a-41e5-9126-8bbbadec3f8e)

![download](https://github.com/alienobserver/keyword-spotting/assets/59918929/2a0d42ce-7bf9-4b48-ba43-f88b503f0522)

![download (3)](https://github.com/alienobserver/keyword-spotting/assets/59918929/794dae02-78c8-450d-89db-cbfb3bddd1c1)

The confusion matrix

![download (1)](https://github.com/alienobserver/keyword-spotting/assets/59918929/37674acc-9092-4d9b-a3b6-26a02cda155e)