All items tagged with edge computing (26)

7 Sensing Software Joins Qualcomm Extension Program with Hearing Augmentation and Voice Processing Solutions

December 15, 2020 by audioXpress Staff

7 Sensing Software Joins Qualcomm Extension Program with Hearing Augmentation and Voice Processing Solutions

7 Sensing Software, an embedded software development company active in audio processing and machine learning targeting wearable and hearable applications, announced that it joined the Qualcomm Extension Program. With this confirmation, 7 Sensing Software is now able to offer its Hearing Augmentation and Pure Voice solutions for wireless earbuds and headsets running on the ultra low power, premium-tier Qualcomm QCC5100 Bluetooth SoC family.

CEVA Partners With Fluent.ai to Offer Multilingual Speech Support on Edge Devices

September 16, 2020 by audioXpress Staff

CEVA Partners With Fluent.ai to Offer Multilingual Speech Support on Edge Devices

CEVA and Fluent.ai, a leading provider of on-device, multilingual speech understanding solutions, announced a partnership to offer ultra-low power speech-to-intent solutions for intelligent edge devices. Fluent.ai’s suite of speech-to-intent technologies has been ported and optimized for CEVA’s low power audio and sensor hub DSPs, providing a high performance, robust solution for OEMs and ODMs looking to integrate intelligent voice activation and control into their wearables, consumer devices and IoT products.

XMOS and Plumerai Partner To Bring Binarized Neural Networks to the Edge

April 2, 2020 by audioXpress Staff

XMOS and Plumerai Partner To Bring Binarized Neural Networks to the Edge

British technology companies XMOS and Plumerai have agreed a new strategic partnership that will support the development of binarized neural network (BNN) capabilities that enable AI to be embedded in a wide range of everyday devices efficiently at low power and at low cost. XMOS and Plumerai will bring together their deep learning expertise across chip design and algorithms in a binarized neural network capability, advancing the deployment of intelligence at the edge.

CEVA Announces DSP and Voice Neural Networks Integration for Power-Efficient Edge Processors

March 25, 2020 by audioXpress Staff

CEVA Announces DSP and Voice Neural Networks Integration for Power-Efficient Edge Processors

CEVA announced that its CEVA-BX DSP cores and WhisPro speech recognition software now also support TensorFlow Lite for Microcontrollers, a production ready, cross-platform framework for deploying tiny machine learning on power-efficient processors in edge devices. WhisPro is CEVA's speech recognition software for voice wake words and custom command models. TensorFlow Lite for Microcontrollers is a solution from Google for implementing machine learning at the edge, already optimized and available for CEVA-BX DSP cores.

Lattice Announces Nexus Low Power FPGA Platform for Edge Applications

December 10, 2019 by Cristina Costa

Lattice Announces Nexus Low Power FPGA Platform for Edge Applications

Lattice Semiconductor announced its new low power FPGA platform, Lattice Nexus. The platform is architected to deliver power-efficient performance that will benefit developers of a wide range of applications, including voice processing and edge computing for connected devices. Built with innovations at every level of design, from solutions, to architecture, to circuit, the new Lattice Nexus FPGAs deliver higher system performance at significantly reduced power consumption.

Sonos Announces Acquisition of Snips to Expand Voice Efforts

November 20, 2019 by Joao Martins

Sonos Announces Acquisition of Snips to Expand Voice Efforts

Sonos announced the acquisition of Snips, a French company that provides embedded voice assistants and interfaces for connected devices that run locally and offline. The acquisition adds a talented group of employees and strategic IP to Sonos. Following the company's presentation at CES 2019, Snips received a Best of Innovation Awards in the Embedded Technology category. Snips will enable Sonos to design speech-enabled devices that can operate offline and to market them faster without sacrificing its own brand identity.

Acconeer and Imagimob Combine Radar Technology and Edge AI for Gesture Control Applications

November 12, 2019 by audioXpress Staff

Acconeer and Imagimob Combine Radar Technology and Edge AI for Gesture Control Applications

By combining Edge AI software from Imagimob, a company specializing in artificial intelligence development, with Pulsed Coherent Radar technology from Acconeer, the radar sensor specialists, the two Swedish companies have created an innovative platform for gesture control that is perfect for consumer electronics products. Scheduled to be demonstrated at CES 2020 (January 7-10) in Las Vegas, the solution will be implemented for application with wireless headphones, trained to recognize five hand gestures with high accuracy and close to zero latency.

Hi Auto Demonstrates Audio-Visual Speaker Separation Solution Following a $4.5 Million Seed Round

November 7, 2019 by audioXpress Staff

Hi Auto Demonstrates Audio-Visual Speaker Separation Solution Following a $4.5 Million Seed Round

Speech recognition platforms suffer from poor recognition rates in a noisy environment such as kids in the back seat of cars, radio, ambulance passing by, or heavy rain. Video conferencing becomes ineffective when one of the participants is in a noisy environment like a coffee shop. Israel’s Hi Auto developed a software-only speech enhancement and speaker separation system that eliminates the most challenging noises and focus only on the speaker.

NXP Announces New Dual-Core Arm Cortex-M Based GHz Crossover Microcontroller for Advanced Machine Learning Applications

October 4, 2019 by audioXpress Staff

NXP Announces New Dual-Core Arm Cortex-M Based GHz Crossover Microcontroller for Advanced Machine Learning Applications

NXP Semiconductors announced the i.MX RT1170 family of crossover MCUs that combines unprecedented levels of performance, reliability, and integration to propel industrial, automotive and consumer machine learning applications. The NXP i.MX RT1170 family reinforces NXP’s commitment to advance edge computing with its EdgeVerse portfolio of solutions and marks a technology breakthrough with MCUs that run up to 1GHz while maintaining low-power efficiency.

New Knowles AISonic Audio Edge Processor Optimized for High-Performance Mobile, Ear and Connected Devices

June 6, 2019 by audioXpress Staff

New Knowles AISonic Audio Edge Processor Optimized for High-Performance Mobile, Ear and Connected Devices

Knowles Corporation announced the IA8201, the latest product in its Knowles AISonic family of audio edge processors. The IA8201 offers robust voice activation and multi-microphone audio processing optimized for power-sensitive applications, and is the first processor specifically designed for advanced audio and machine learning applications, enhancing power-efficient intelligence and privacy at the network’s edge. This processor has the compute power to perform advanced audio output, context awareness and gesture control for today’s most advanced consumer electronics.

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