PocketSphinx is a Carnegie Mellon speech recognition engine for resource-constrained devices. Create custom language models & acoustic models to customize speech recognition experience.
PocketSphinx is a powerful speech recognition engine that enables users to quickly and accurately recognize spoken words. Developed by Carnegie Mellon University, PocketSphinx is a lightweight voice recognition system that is designed to work quickly and efficiently on resource-constrained devices such as mobile phones and embedded systems. With PocketSphinx, users can easily create and use their own custom language models and acoustic models, allowing them to customize their speech recognition experience. This makes PocketSphinx ideal for a variety of applications, from home automation and robotics to voice-controlled gaming and more. Whether you’re a developer looking to add voice control to your projects, or someone looking for an easy-to-use speech recognition system for personal use, PocketSphinx has you covered. With its intuitive interface, powerful features, and low resource requirements, PocketSphinx is the perfect way to add voice recognition to any project.