Hi, thanks for sharing your code. I took a dive into the code to see if the project could be configured to work as a simple humming recognition library (which I intend to share to the community also).
Just wondering if I could ask from the expert whether your code could easily be converted? I'm imagining this scenario:
1) You have pre-recorded a 4 second tune that someone has hummed. So you have that stored locally on the device.
2) You use the record feature on the app to record a user's attempt to mimic the hum.
3) You score the user's closeness to the original.
Based on your experience and approach, is this possible? If the original hum was from a man, would a women's hum be markedly different in terms of the min distance score?
Hi, thanks for sharing your code. I took a dive into the code to see if the project could be configured to work as a simple humming recognition library (which I intend to share to the community also).
Just wondering if I could ask from the expert whether your code could easily be converted? I'm imagining this scenario: 1) You have pre-recorded a 4 second tune that someone has hummed. So you have that stored locally on the device. 2) You use the record feature on the app to record a user's attempt to mimic the hum. 3) You score the user's closeness to the original.
Based on your experience and approach, is this possible? If the original hum was from a man, would a women's hum be markedly different in terms of the min distance score?