+44 (0)24 7671 8970
More publications     •     Advertise with us     •     Contact us
 
Loading...
News Article

CEA-Leti develops novel architecture for Keyword-Spotting

News

CEA-Leti has developed a keyword-spotting system that dramatically improves accuracy in always-on, voice-activated Edge-AI systems and that consumes less power in a far smaller silicon footprint than current technology.

Presented in a paper at ISSCC 2024 in San Francisco, the new architecture uses time-domain signal processing on oscillators locked by injection and is suitable for devices running on energy harvesters, which supply power below 0.5V. The paper, “0.4V 988nW Time-Domain Audio Feature Extraction for Keyword Spotting Using Injection-Locked Oscillators”, reports accurate speech recognition at power consumption below one microwatt.

It describes the first injection-locked, oscillator-based time-domain audio feature extraction (TD-FEx) demonstrating keyword spotting operating down to 0.4V, while achieving 91 percent accuracy on 10 words. TD-FEx information is not coded as a voltage but as a time delay of two clocks’ signals. In addition to being well suited for advanced nodes, its advantages are digital-like implementation with low-supply voltage and better noise immunity than current systems. CEA-Leti’s system demonstrated accurate speech recognition with power consumption below 1 µW.

Some analog-based audio feature extraction (FEx) units using multi-channel Gm-C bandpass filters can supply 10 times the power efficiency of digital FEx units in a comparable silicon area. “However, analog FEx circuits have not demonstrated KWS with more than four keywords,” the paper reports. “They also suffer from a large footprint, challenging technology migration and limited dynamic range at low supply voltage, while speech signals have inherently a high dynamic range.”

“Our system’s silicon area of 0.15mm2 is at least 3.5 times smaller than prior art on the same process node of 65nm,” said Ali Mostafa, lead author of the paper. “With a power of 988nW, our system is nine times more power-and-area efficient than ring-oscillator-based TD-FEx.”

Applications beyond speech recognition for this system include predictive maintenance and health monitoring that require on-line frequency decomposition of the sensor data.

CEA-Leti develops novel architecture for Keyword-Spotting
Imec pioneers low-power UWB receiver chip
New eBook from Mouser and Analog Devices
Keysight joins U.S. Commerce Department’s AI Safety Institute Consortium
Greene Tweed names industry veteran Justine Franchina as COO
Arizona Commerce Authority allocates funding to NAU
SwissChips Initiative to boost Swiss chip industry
Five facilities in five years for India?
Brewer Science to present innovative materials and processes at SPIE Conference
VTT explores how to make communications smoother with quantum computing
SIA applauds over $5 billion in CHIPS R&D investments
ASMC 2024 to spotlight advanced innovations
Siemens acquires high-performance visual inspection company "Inspekto"
Optimising predictive maintenance
Industry poised for 2024 recovery
zeroRISC, Nuvoton and Winbond join forces
Infineon drives decarbonisation and digitalisation
ROHM introduces new SBDs
Imec launches Design Pathfinding Process Design Kit for N2 Node
High-speed line inspection at the IPC APEX EXPO 2024
Renesas to acquire PCB design software leader Altium
SK hynix unveils recycled materials roadmap
Supporting quantum workforce development
Ichor receives Supplier Excellence Award from Applied Materials
Empower Semiconductor showcases IVRs
Bruker acquires Nanophoton Corporation
Government backs Kioxia and Western Digital’s JV
Webinar focuses on Precision Electronics for Scientific Discovery
The challenge of decarbonizing the semiconductor industry and fulfilling chip demand
Toppan Photomask signs agreement with IBM
Korean AI chipmaker Rebellions closes $124M Series B fundraise
Avnet and indie Semiconductor enter global distribution agreement
×
Search the news archive

To close this popup you can press escape or click the close icon.
Logo
×
Logo
×
Register - Step 1

You may choose to subscribe to the Silicon Semiconductor Magazine, the Silicon Semiconductor Newsletter, or both. You may also request additional information if required, before submitting your application.


Please subscribe me to:

 

You chose the industry type of "Other"

Please enter the industry that you work in:
Please enter the industry that you work in: