This guide describes how to process audio files in Android, in order to feed them into deep learning models built using TensorFlow.

TensorFlow Lite’s launch and subsequent progress have reduced the distance between mobile development and AI. And over time, don’t be surprised if app stores eventually end up flooded with AI/ML-powered apps.

With mobile, audio can be an integral part of various user experiences, Wouldn’t it be great if we could develop various kinds of AI-powered apps leveraging device microphones and music that we store inside devices?

It’s not as simple as it sounds—at least at the time of writing this article.

Python has a rich array of libraries that helps in doing different kinds of processing with audio data. Those who have performed audio processing in Python can vouch for how powerful the librosa library is.

But the same is not the case with Java. In Java world, there’s a real dearth of audio processing libraries even for basic processing operations, and this acts as a huge blocker to build TensorFlow based Android apps with audio classification capabilities. But with challenge comes opportunity :-)

#audio-processing #tensorflow-lite #android-apps #tensorflow