This is why we started DeepSpeech as an open source project.

This reduces user choice and available features for startups, researchers or even larger companies that want to speech-enable their products and services. There are only a few commercial quality speech recognition services available, dominated by a small number of large companies. We are also releasing the world’s second largest publicly available voice dataset, which was contributed to by nearly 20,000 people globally.Īn open source speech-to-text engine approaching user-expected performance I’m excited to announce the initial release of Mozilla’s open source speech recognition model that has an accuracy approaching what humans can perceive when listening to the same recordings. Today, we have reached two important milestones in these projects for the speech recognition work of our Machine Learning Group at Mozilla. These challenges inspired us to launch Project DeepSpeech and Project Common Voice. We believe this technology can and will enable a wave of innovative products and services, and that it should be available to everyone.Īnd yet, while this technology is still maturing, we’re seeing significant barriers to innovation that can put people first. Technical advancements have fueled the growth of speech interfaces through the availability of machine learning tools, resulting in more Internet-connected products that can listen and respond to us than ever before.Īt Mozilla we’re excited about the potential of speech recognition. With the holiday, gift-giving season upon us, many people are about to experience the ease and power of new speech-enabled devices.

Open source speech to text