Language Speech Datasets involve creating large collections of spoken recordings paired with text, often used to train speech recognition and text-to-speech models. In this process, text is provided in a software system where an agent reads the content aloud, and the speech is recorded through the client app. These datasets help in improving AI models’ understanding and generation of natural language in different languages, accents, and dialects.
We specialize in creating multilingual Language Speech Datasets across English, Hindi, Tamil, Malayalam, and Telugu.