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The recent improvements in the field of speech synthesis have lead to many innovative technologies, offering a wide range of useful applications like automatic speech recognition, natural speech synthesis, voice cloning, digital dictation, and so forth.

Deep learning has played an immensely important role in improving already existent speech synthesis approaches by replacing the entire pipeline process with neural networks trained on data alone.

Continue reading “An architecture for production-ready natural speech synthesizer”

Building a machine learning model to identify custom images might require a lot of dataset collection and a lot of time to do it correctly.

This article is not a theoretical one—rather, I’ll walk you through the steps for creating an app that you could distribute amongst your peers to collect, create, and analyze TensorFlow models.

If you want a custom image classifier, but don’t have the right data or the know-how to build it, you’ve come to the right place.

Continue reading “Build Custom Image Classification Models for Mobile with Flutter, ML Kit, and AutoML”

Computer scientists have been attempting to solve many different Natural Language Processing (NLP) problems since the time computers were conceived.

But the field become slightly stagnant around the 2000s, and did not gain traction again till the ‘Deep Learning’ boom that occurred during the last decade.

Of the many factors that helped build this traction was the spike in available textual data, thanks to the rise in the number of web and mobile applications.

Continue reading “Five Contemporary Natural Language Processing Problems Pushed Forward by DL”

Adding a colorful gradient is a great way to build backgrounds and create even more impressive filters. In Facebook’s Spark AR Studio, we use the Patch Editor to create color gradients.

In this article, we will learn to create a colorful gradient, add a gradient to the whole scene, and to a distance field shape. Follow the steps below to create colorful gradients in the Patch Editor.

Continue reading Add Color Gradients To Materials in Facebook’s Spark AR Studio

At WWDC 18, Apple announced Create ML, a platform to create and train custom machine learning models on your Mac. You can train models to perform tasks like image recognition, extracting meaning from text, or finding relationships between numerical values.

Continue reading “Working with Create ML’s MLDataTable to Pre-Process Non-Image Data”

One of the coolest things for me about our team’s work with Lens Studio is that I get to learn while being creative—and being silly as well.

In all honesty, Snapchat has long been one of my favorite apps, if for nothing other than a lone filter that weirdly changed the course of my life…

Continue reading “Snapchat Lens Recipe: Which ____ Are You?”

Capturing document images with the help of handheld devices is the norm today. These images can easily be transferred over mail, chat, and can also be stored in the hard drive for future reference.

However, casual capturing of documents often leaves behind folds and distortions that are hard to recover from using normal editing processes.

Continue reading “Dewarping Documents with AI”