PORTLAND, Ore., July 26, 2024 —Â SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic, has released a new generative AI feature to enhance Data Studio, its dataset management application for IoT edge devices.
This innovative new capability allows embedded device developers to utilize text-to-speech (TTS) and AI voice generation to rapidly create hyper-realistic synthetic speech datasets that are essential for building robust keyword recognition, voice command, and speaker identification models. Using these rapidly generated speech datasets, developers can now easily create speech recognition AI models using SensiML’s AutoML development tools. These models are specifically optimized to run autonomously and efficiently on low-power microcontrollers utilized in edge IoT applications.
By leveraging cutting-edge speech generation technology from ElevenLabs, SensiML’s new feature simplifies the creation of large high-quality datasets. Developers can now generate synthetic speech data with unparalleled realism, and tailored voice attributes like pitch, cadence, and tone to meet specific application requirements. This eliminates the time-consuming and costly process of manually recording phrases from large populations of diverse speakers, accelerating time-to-market for voice-enabled IoT devices.
Designed for user friendliness, the new TTS and AI voice generation feature enables seamless integration into existing Data Studio workflows.
Key benefits of SensiML’s generative AI enhancement include:
- High-Quality Voice Output: Produces natural and expressive voice samples, enhancing user experiences
- Versatility: Supports a wide range of languages and dialects, catering to diverse global markets
- Efficiency: Streamlines the process of integrating voice generation into AI models, reducing time-to-market
- Scalability: Suitable for applications of all sizes, from small IoT devices to large-scale deployments
“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. “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.”
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.
About SensiML
SensiML, a subsidiary of QuickLogic, offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company’s flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto-generation, and testing. The SensiML Toolkit supports a growing list of hardware including 8/16/32-bit MCUs from Microchip, Arm Cortex-M class and higher microcontroller cores, Intel x86 instruction set processors, and heterogeneous core AI/ML optimized SoCs.
Source: SensiML
