SensiML Integrates Generative AI Voice Technology in its ML DataOps Software

SensiML, a provider of artificial intelligence software for IoT and a subsidiary of QuickLogic, has released a generative AI feature to enhance Data Studio, its dataset management application for IoT edge devices.

This new capability, powered by ElevenLabs speech technology, allows embedded device developers to use text-to-speech (TTS) and AI voice generation to create synthetic speech datasets for building keyword recognition, voice command, and speaker identification models. Using these speech datasets, developers can now create speech recognition AI models using SensiML's AutoML development tools optimized to run autonomously and efficiently on low-power microcontrollers in edge IoT applications.

By leveraging speech generation technology from ElevenLabs, SensiML's new feature simplifies the creation of large datasets. Developers can now generate synthetic speech data with unparalleled realism and tailored voice attributes like pitch, cadence, and tone.

The new TTS and AI voice generation feature integrates into existing Data Studio workflows. The created datasets are seamlessly compatible with SensiML's Analytics Studio and its open-source AutoML tool, Piccolo AI, facilitating a smooth transition from dataset creation to model deployment.

"With the introduction of this generative AI feature into our Data Studio application, SensiML continues to push the boundaries of what's possible in AI for IoT," said Chris Rogers, CEO of SensiML, in a statement. "Developers can now harness state-of-the-art synthetic speech technology to create highly accurate and diverse training datasets, accelerating the deployment of intelligent voice-controlled applications directly on microcontrollers."