/Audio-Classification--transfer-learning-and-fine-tuning--Android-application

Developing a application and/or website for snore detection using DeepLearning

Primary LanguageJupyter Notebook

The following steps were completed

  • Finetuning the YAMNET model from tfhub using available dataset
  • Exported tflite model
  • Using tflite in Android( Java) to get predictions ( Flutter also attempted)

TODO

  • Expand the current application to split audio file into 5sec interval, convert them to Java consumable format, predict each of them
  • Then output the time of 'positively identified' sound activity
  • Alternatively, while the java issue gets resolved, working on getting resmapled data from a flask API, the application will call this flask api.