Ocular AI

Ocular AI specializes in providing high-quality, full-duplex conversational datasets. These datasets capture two-speaker conversations across multiple languages and dialects, preserving overlapping speech, backchannels, and natural disfluencies. The aim is to enhance the training of AI models by offering rich, real-world data that reflects genuine human interactions.

The platform offers various datasets, including a multi-accent English Automatic Speech Recognition (ASR) dataset, containing 7,377 recordings totaling over 10 hours of audio. This dataset spans 11 countries and is balanced across genders and accents, making it suitable for a range of applications in the AI field.

Ocular AI's approach combines expertise from professionals across various domains, encoding the nuances of human expertise into structured training data. By partnering with domain experts, the platform ensures that models learn the complexity of human interactions, emotions, and cultural nuances required for sophisticated conversational AI systems.