Building a Machine Learning Pipeline for the English Accents Classification

Author(s): Dmytro Iakubovskyi

Originally published on Towards AI.

A step-by-step guide for building the audio-based Machine Learning classification model for most common English accents and making it live through Hugging Face
Photo by Kane Reinholdtsen on Unsplash

In our increasingly interconnected world, communication knows no bounds. With diverse communities interacting across borders and cultures, understanding the accents has become an essential part of effective communication. An accurate English accent classification system holds the potential to bridge linguistic gaps, enhance speech recognition systems, improve language learning tools, and even aid in personalized user experiences. Below, I describe in detail how one can develop such a system, shedding light on the numerous applications it offers in fostering seamless and inclusive communication.

All end-to-end code for selecting the data, training the model, and sending it to… Read the full blog for free on Medium.

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Published via Towards AI