- 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:
- 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.
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.
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SOURCE SensiML Corporation