If you may help me to solve my problem?
I have an AI assistant which will be implemnted in a public area and i want to build a wakeup phrases detection model (like hi siri),
I have 3 wakeup phrases (hi eva,hello eva and salam eva) those should be considered as one class let’s call it class 0 (wakeup phrases) , the other class lets call it *not wake phrases* (people just randomly talking)
I generated audios of the 3 phrases with an AI generator to create audios of people saying those phrases in different accents, and collected a dataset containing people randomly talking for the second class.
I tried to build the model with balanced classes and it gave 100 accuracy and it’s not able to clearly classify the audio to wakeup phrases or not wakeup phrases when i pass a new audio to it!
Now I collected more audios of the second class (not wakeup phrases) but I don’t know if my approach is correct or not, i feel that i’m missing something may i send you the file to check and make the model work please ?
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