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Synaptics is using DSP Group’s nNet Lite NN processor.
DBM10L
DSP Group’s DBM10L is an ultra-low-power, small-form-factor, cost-effective artificial intelligence (AI) and machine learning (ML) SoC based on a digital signal processor (DSP) and neural network (NN) engine, both optimized for voice and sensor processing. It is suitable for battery-operated devices such as smartphones, tablets, wearables, and hearables, including true wireless stereo (TWS) headsets, as well as smart home devices such as remote controls. The DBM10L can enable AI/ML, voice, and sensor fusion functions that include voice trigger (VT), voice authentication (VA), voice command (VC), noise reduction (NR), acoustic echo cancellation (AEC), sound event detection (SED), proximity and gesture detection, sensor data processing, and equalization.
The DBM10L’s NN engine comprises DSP Group’s nNet Lite NN processor, a standalone hardware engine that is designed to accelerate the execution of NN inferences. nNet Lite provides the DBM10L its ML capability and is optimized for maximum efficiency to ensure ultra-low power consumption for small- to medium-size NNs.
The DBM10L is supported by embedded memory, as well as serial and audio interfaces for communication with other devices in the system, such as an application processor (AP), codecs, microphones, and sensors.
DBM10L - DSP Group
DSP Group’s DBM10L is an ultra-low-power, small-form-factor, cost-effective artificial intelligence (AI) and machine learning (ML) SoC based on a digital signal processor (DSP) and neural network (NN) engine, both optimized for voice and sensor processing. It is suitable for battery-operated...
www.dspg.com
DSP Group Unveils DBM10 Low-Power Edge AI/ML SoC with Dedicated Neural Network Inference Processor
January 7 2021, 13:00DSP Group announced the DBM10, a new low-power, cost-effective artificial intelligence (AI) and machine learning (ML) system-on-chip (SoC). This new open platform, with a cost- and power-optimized architecture, enables rapid development of AI and ML applications for mobile, wearables, hearables, and connected devices in general. It provides a complete platform in terms of voice and audio processing, without compromising the battery life of new designs, and allowing developers to implement their own differentiating algorithms.
DSP Group is a global provider of wireless and voice-processing chipset solutions with extensive experience in voice implementation and an increasing focus in advanced audio processing for personal audio with hearables (headphones, headsets, earbuds) and wearables (on-body electronics). Its new DBM10 SoC comprises a digital signal processor (DSP) and the company’s nNetLite neural network (NN) processor, both optimized for low-power voice and sensor processing in battery operated devices.
This dual-core architecture offers developers with full flexibility of partitioning innovative algorithms between DSP and NN processor and enables fast time to market for integration of voice and sensing algorithms such as noise reduction, AEC, wake-word detection, voice activity detection and other ML models.
The DBM10 features an open platform approach with a comprehensive software framework. This allows developers to quickly get next-generation designs to market with their own algorithms, or with DSP Group’s comprehensive and proven suite of optimized algorithms for voice, sound event detection (SED), and sensor fusion, as required by applications ranging from true wireless stereo (TWS) headsets to smartphones, tablets, wearables, and connected devices.
"Edge applications for AI are many and diverse, but almost all require the ultimate in terms of low power, small form factor, cost effectiveness, and fast time-to-market, so we are very excited about what the DBM10 brings to current and new customers and partners," says Ofer Elyakim, CEO of DSP Group. "Our team has worked to make the absolute best use of available processing power and memory for low-power AI and ML at the edge — including developing our own patent-pending weight compression scheme —while also emphasizing ease of deployment. We look forward to seeing how creatively developers apply the DBM10 platform."
The DBM10 adds to DSP Group’s SmartVoice line of SoCs and algorithms that are deployed globally in devices ranging from smartphones and laptops/PCs, to set-top boxes, tablets, remote controls, and smart IoT devices for the home. In 2020, SmartVoice shipments reached the 100 millionth milestone, and the new low-power DBM10 is already supported by an established ecosystem of third-party algorithm providers. Some of these have already begun running their NN algorithms on the nNetLite NN processor at the heart of the DBM10 to achieve maximum performance at the lowest power consumption.
Working alongside a programmable low-power DSP, the nNetLite processor supports all standard deep NN (DNN) and ML frameworks and employs a comprehensive cross-platform toolchain for model migration and optimization. The SoC device is supplied in a highly-compact form factor (~4 mm2), specified to support ultra-low-power inference at ~500 μW (typical) for voice NN algorithms and being able to run Hello Edge 30-word detection model @ 1 MHz (125 MHz available) as a reference. The DBM10 allows porting of large models (10s of megabytes) without significant accuracy loss using model optimization and compression.
www.dspg.com
DSP Group Unveils DBM10 Low-Power Edge AI/ML SoC with Dedicated Neural Network Inference Processor
DSP Group announced the DBM10, a new low-power, cost-effective artificial intelligence (AI) and machine learning (ML) system-on-chip (SoC). This new open platform, with a cost- and power-optimized architecture, enables rapid development of AI and ML applications for mobile, wearables, hearables...
Hisense Selects Synaptics’ DBM10L Processor For First AI-Enabled Always-On Voice Remote Control
AMSTERDAM, The Netherlands, Sept. 09, 2022 – Synaptics® Incorporated (Nasdaq: SYNA) today announced that Hisense, a global leader in consumer electronics and home appliances, selected the DBM10L with its dedicated neural processing unit (NPU) to implement the first artificial intelligence (AI)-enabled always-on voice (AOV) remote control unit (RCU), the EFR3B86H. Hisense paired the DBM10L-equipped RCU with its state-of-the-art 65A9H 4K OLED TV, where Synaptics' high-performance edge-AI processing and low power are vital to ensure the ultimate AOV end-user experience.“Hisense consistently stays ahead of the curve when it comes to enabling innovative and intuitive features,” said Venkat Kodavati, SVP and Chief Product Officer at Synaptics. “With end users’ increasing reliance upon voice and voice assistants such as Alexa, we are very excited to have worked with them to bring that same experience to TV remote controls. Our collaboration on a high-performance AOV implementation creates the opportunity for remotes to now become a more integral and critical user-engagement platform for the smart home.”
While a reliable and responsive AOV experience for remote controls is increasingly desirable, it is challenging to execute in battery-driven applications. “This is particularly true in noisy environments as more noise translates to more power consumption to prevent performance degradation,” said Shay Kamin Braun, Director of Product Marketing at Synaptics.
The DBM10L enables a superior AOV user experience that combines high performance with ultra-low power consumption, allowing devices to operate for extended periods using a single pair of AAA batteries. “Along with upcoming innovations such as biometrics for voice authentication for online purchases, AOV remote controls for TVs and other consumer devices can now provide greater convenience for users and higher attachment rates for equipment and service providers,” said Kamin Braun.
The DBM10L AOV solution
To solve the power consumption challenge while delivering the best performance for AOV applications, Synaptics built an ultra-low-power voice engine around its DBM10L system-on-chip (SoC), which combines the dedicated NPU with a low-power DSP. The solution comprises the DBM10L and proven algorithms for filtering, noise suppression, beamforming, wake word detection, and voice activity detection. Optimizations allow deep neural network (DNN)-based wake-word detection and other edge AI algorithms to run on the DBM10L's NPU, targeting high performance at ultra-low power with low latency, while different voice and audio processing algorithms run optimally on the integrated low-power DSP.
Availability
The EFR3B86H AOV remote control is shipping now with the Hisense TV model 65A9H. For more information on the DBM10L, visit the DBM10L webpage or contact your local Synaptics sales representative.
For more about the potential of AOV RCUs and how they are changing how we interact with home devices, see “Always-On Voice Makes Content Control Seamless and Intuitive”.
About Hisense
Founded in 1969, Hisense is one of the largest consumer electronics and home appliances companies in the world. Hisense offers a broad range of technology-driven products that are manufactured and distributed across the world, including smart TVs, smart phones, refrigerators, freezers, and air conditioners, among other products. Hisense has a workforce of over 70000 worldwide, and its flat-panel TV market share in China has been No.1 for 13 consecutive years. Currently, Hisense boasts several subsidiaries, with sales revenue reaching CNY 100.3 billion in 2016. For more, visit www.hisenseme.com.
Press Release | Hisense Selects Synaptics’ DBM10L Processor For First AI-Enabled Always-On Voice Remote Control | Synaptics
AMSTERDAM, The Netherlands, Sept.
