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On Thu, 25 Jul, 1:31 PM UTC
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SensiML Integrates Cutting-Edge Generative AI Voice Technology in its ML DataOps Software for the IoT Edge
- SensiML Data Studio Democratizes Voice Recognition on Tiny Devices with New Text-to-Speech Synthetic Dataset Generation Feature PORTLAND, Ore., July 25, 2024 /PRNewswire/ -- SensiML™ Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic (NASDAQ: QUIK), today 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: "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. Real-World Example: Consider a smart home security system that uses voice commands for activation and status updates. With SensiML's new text-to-speech and AI voice generator feature, developers can efficiently create extensive voice datasets, enabling the system to recognize a wide range of user commands accurately. This advancement accelerates the development and deployment of the system, ensuring homeowners benefit from an advanced, reliable, and responsive security solution without the need for constant internet connectivity. This feature marks a significant advancement in the capability of developers to custom build their own ML code for IoT devices needing to handle complex voice and sound recognition tasks directly on-device, without the need for constant connectivity or high computational power. It is particularly beneficial for applications in environments where connectivity may be inconsistent, and where fast, reliable processing is crucial. About SensiML SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), 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. For more information, visit https://sensiml.com. SensiML and logo are trademarks of SensiML. All other trademarks are the property of their respective holders and should be treated as such. View original content to download multimedia:https://www.prnewswire.com/news-releases/sensiml-integrates-cutting-edge-generative-ai-voice-technology-in-its-ml-dataops-software-for-the-iot-edge-302206440.html
[2]
SensiML Integrates Cutting-Edge Generative AI Voice Technology in its ML DataOps Software for the IoT Edge By Investing.com
- Democratizes Voice Recognition on Tiny Devices with New Text-to-Speech Synthetic Dataset Generation Feature , /PRNewswire/ -- SensiML™ Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic (NASDAQ: NASDAQ:QUIK), today released a new generative AI feature to enhance , 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 workflows. Key benefits of SensiML's generative AI enhancement include: "With the introduction of this generative AI feature into our application, SensiML continues to push the boundaries of what's possible in AI for IoT," said , 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 and its open-source AutoML tool, Piccolo AI™, facilitating a smooth transition from dataset creation to model deployment. Real-World Example: Consider a smart home security system that uses voice commands for activation and status updates. With SensiML's new text-to-speech and AI voice generator feature, developers can efficiently create extensive voice datasets, enabling the system to recognize a wide range of user commands accurately. This advancement accelerates the development and deployment of the system, ensuring homeowners benefit from an advanced, reliable, and responsive security solution without the need for constant internet connectivity. This feature marks a significant advancement in the capability of developers to custom build their own ML code for IoT devices needing to handle complex voice and sound recognition tasks directly on-device, without the need for constant connectivity or high computational power. It is particularly beneficial for applications in environments where connectivity may be inconsistent, and where fast, reliable processing is crucial. About SensiML SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), 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 (NASDAQ:MCHP) ®, Arm ® Cortex ®-M class and higher microcontroller cores, Intel (NASDAQ:INTC) ® x86 instruction set processors, and heterogeneous core AI/ML optimized SoCs. For more information, visit https://sensiml.com.
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SensiML Corporation, a subsidiary of QuickLogic, has integrated cutting-edge generative AI voice technology into its Machine Learning DataOps software for IoT edge devices. This advancement aims to enhance voice-based applications in resource-constrained environments.
SensiML Corporation, a subsidiary of QuickLogic (NASDAQ: QUIK), has announced a significant advancement in its Machine Learning (ML) DataOps software for Internet of Things (IoT) edge devices. The company has successfully integrated cutting-edge generative AI voice technology into its platform, marking a notable step forward in the field of voice-based applications for resource-constrained environments 1.
The integration of generative AI voice technology into SensiML's software suite brings several key benefits to developers working on IoT edge applications. This advancement allows for the creation of more sophisticated voice-based interfaces and interactions, even on devices with limited computational resources. By leveraging generative AI techniques, SensiML's solution can potentially improve the quality and naturalness of voice outputs in edge devices 2.
This development has significant implications for the IoT industry. With the integration of generative AI voice technology, developers can now create more advanced and user-friendly voice interfaces for a wide range of IoT applications. This could lead to improved user experiences in smart home devices, wearables, and industrial IoT systems, where voice commands and responses are becoming increasingly important 1.
Chris Rogers, CEO of SensiML, emphasized the company's commitment to pushing the boundaries of what's possible in IoT edge computing. By incorporating generative AI voice technology into their ML DataOps software, SensiML aims to provide developers with tools that can create more natural and responsive voice interactions in resource-constrained environments 2.
The integration of generative AI voice technology into SensiML's software suite is expected to have a positive impact on the company's market position. As the demand for sophisticated voice-enabled IoT devices continues to grow, SensiML's enhanced offering could attract more developers and potentially lead to increased adoption of their ML DataOps platform 1.
While the integration of generative AI voice technology presents exciting opportunities, it also comes with challenges. Developers will need to carefully balance the enhanced capabilities with the resource constraints of IoT edge devices. Additionally, considerations around privacy and data security in voice-based applications will likely become more prominent as these technologies become more sophisticated and widespread 2.
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