DSP Group Announces Support of TensorFlow Lite for Microcontrollers on its DBMD7 AI/ML SoC
October 22 2020 - 7:00AM
DSP Group,
Inc. (NASDAQ:
DSPG), a leading global provider of wireless and
voice-processing chipset solutions for converged communications,
today announced software development kit (SDK) support for
TensorFlow Lite for Microcontrollers for the DBMD7 family of
low-cost, high-performance, multi-core AI and DSP processors. The
SDK for the DBMD7 allows developers of AI IoT devices to
cost-effectively deploy high-performance machine learning (ML)
inference at the edge to avoid network latencies, minimize power
consumption, ensure end-user privacy, and free up scarce network
bandwidth.
"DSP Group offers compelling hardware for many low-power
applications, so we're excited to collaborate to offer machine
learning software to help enable developers create products that
wouldn't be possible otherwise," said Peter Warden, Staff Research
Engineer at Google.
TensorFlow Lite for Microcontrollers is an extension of
TensorFlow Lite that addresses the need to run ML on
memory-constrained devices with only kilobytes of memory. It comes
with a specific set of optimized operations to allow the execution
of ML models for applications such as wake-word detection, sound
detection, and image wake-up. In addition, developers can add their
own ML algorithms. To further enhance efficiency, the DBMD7 has a
floating point unit (FPU) for each of its high-frequency cores so
TFL code can be executed optimally using either floating-point or
fixed-point functions.
“By adding TensorFlow Lite for Microcontrollers to our SDK for
the DBMD7 family of AI and DSP processors we allow designers to
leverage Google’s open framework and tools to execute advanced
audio and voice ML inference at the edge without compromising on
cost or performance,” said Yosi Brosh, CVP and head of SmartVoice
Product Line at DSP Group. “At the same time, they can take
advantage of a platform that scales from two to eight microphones
for far-field voice user interfaces (VUIs) and voice
communications, which are supported by advanced audio processing
algorithms based on our 30 years of experience and technical
support in this space.”
The announcement of the porting of TensorFlow Lite for
Microcontrollers comes just days after DSP Group announced that its
SmartVoice solutions, which include the DBMD7, reached the 100
million units shipped milestone. The porting further expands
SmartVoice’s base of possible applications, which already ranges
from AI/ML at the edge, to remote controls, smart speakers,
hearables, tablets, laptops, smartphones, and security systems.
About DSP GroupDSP Group®, Inc.
(NASDAQ: DSPG) is a global leader in wireless communications and
voice processing chipsets and algorithms for a wide range of
smart-enabled devices. The company was founded in 1987 on the
principles of experience, insight, and continuous advancement. We
seek to consistently deliver next-generation solutions in the areas
of voice, audio, video, and data connectivity. Building upon our
core competencies in the area of voice processing, DSP Group
invests heavily in innovation for the smart future. The result is
leading-edge semiconductor and product development technology that
allows our customers to develop products that enhance the end-user
experience. From AI-enabled TWS headsets to the voice-enabled smart
home. From IoT, security, mobile handsets, tablets, and laptops,
all the way to full enterprise-level unified communications (UC)
across cloud-based voice services, DSP Group applies its core
engineering and technical support capabilities to help its
customers meet the demands of an ever-expanding universe of
voice-enabled, connected, smart devices. Visit us at www.dspg.com
or follow us on LinkedIn and Twitter, as well YouTube, where you
can see our solutions in action.
Contact:Shiri Weiss Ovadia
Marketing & Communications DSP Group Inc.+1 (408)
986-4300Shiri.Weiss@dspg.com
DSP (NASDAQ:DSPG)
Historical Stock Chart
From Aug 2024 to Sep 2024
DSP (NASDAQ:DSPG)
Historical Stock Chart
From Sep 2023 to Sep 2024