Dhavani: An Audio Language Model That Listen, Speak, and Reason All in Real-Time

Dhavani is an innovative Audio Language Model designed to facilitate real-time, natural voice-based human-machine interactions by integrating speech recognition, natural language understanding, and speech synthesis into a cohesive system. It addresses the challenges of traditional cascading systems, such as high latency and mechanical interactions, by directly processing audio inputs and generating audio outputs without intermediate text stages, significantly reducing latency to an average of 150 milliseconds compared to 500-800 milliseconds in conventional systems. Dhavani's architecture employs advanced neural network techniques, including transformers and attention mechanisms, to perform reasoning tasks directly on audio inputs, allowing it to handle complex scenarios like overlapping speech and multiple speakers with high accuracy. It incorporates pre- and post-processing tasks within its core model, enhancing emotional recognition, sound classification, and contextual understanding, thus improving user experience with fluid, human-like interactions. Evaluations using diverse datasets demonstrate Dhavani's superior performance in terms of latency, accuracy, and robustness, setting a new benchmark for audio language models and opening new possibilities for applications in virtual assistants, customer service bots, and accessibility technologies.