TFJS - How to create model for custom word(Speech commands model)

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TensorFlow.js version

Node version : V12.4.0

Browser version

Describe the problem or feature request

I used the audio_model which has been given in https://github.com/tensorflow/tfjs-models/tree/master/speech-commands. Followed the document and train the model with custom word like (wakeup) with existing dataset and saved the model. 1 . Create_model wakeup up down left right 2. loaded the dataset 3. train 100 4. save_model

Model json and weights.bin got generated then i imported the model in js but its not detecting any word.

Please suggest how to train custom word and how much training epoch required.

Code to reproduce the bug / link to feature request

[jcambre]

Like others on this thread, I’m also still unclear about step 3 on this README:

1. Run WebAudio FFT on the .dat files generated in step 2 in the browser. TODO(cais): Provide more details here.

Could someone please provide additional details on that step of training? Thanks so much.

[nsteins]

I’m also interested in figuring out how to train a model that can later be loaded in the browser. I was able to train and save model following the README in the training/soft-fft directory, though it appears that functionality is not yet supported by speechCommands. I looked into training/browser-fft but there appears to be a missing step:

1. Run WebAudio FFT on the .dat files generated in step 2 in the browser.

Anywhere you can point me to figure the best way to run the WebAudio FFT on the processed files?