Hi! I'm Susanta! ๐
- ๐ญ Working on hyper-scale distributed systems.
- ๐ญ Experienced in solving practical computer vision and NLP problems.
- ๐ฑ Iโm currently learning more about distributed systems.
A RNN based voice application which can do tasks when it recognizes the user speaking the Trigger word. Here the trigger word is "activate".
Home Page: https://susantabiswas.github.io/TriggerWordAssistant/
I have tried to train the model on my custom dataset. I have done different tries.
1- I make 500 audios of 10 sec with background noise on which positive audios and negative are inserted and trained for 2000 epochs.
2- Then I make 2000 audios and train it for 800 epochs.
I also tried some other things like this but could not get any results. Not even 1%. Either it detects every thing the trigger word or does not detect even the trigger word.
Can you help me with this?
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