All items tagged with voice recognition and neural networks (11)

Voice Control for Low Power Microcontrollers

November 3, 2022 by Ido Gus

Voice Control for Low Power Microcontrollers

Ido Gus, Deep Learning Senior Team Leader at CEVA’s Sensor and Audio Business Unit, writes about voice control deployment on low power and resource constrained microcontroller-units (MCUs). The article discusses what to consider for the development of products using voice as a primary human interface, and how speech recognition models using AI technology can support a wide variety of use cases and languages, without compromising on power requirements.

On the Edge: TinyML and Voice Recognition Technology Are Transforming Industries

May 5, 2022 by Vikrant Singh Tomar

On the Edge: TinyML and Voice Recognition Technology Are Transforming Industries

Rising demand for portable, light footprint voice recognition devices is fueling a growth of the tiny machine learning (TinyML) field. Offering a broader, high-level discussion specifically focused on voice recognition, Vikrant Singh Tomar, the founder and Chief Technology Officer of Fluent.ai, explains the impact for embedded voice and the overall audio industry. This article was originally published in audioXpress, February 2022.

Picovoice Announces Speech-to-Text 2.0: Better, Faster, Stronger

March 9, 2022 by Joao Martins

Picovoice Announces Speech-to-Text 2.0: Better, Faster, Stronger

Picovoice announced a new speech-to-text engine that they believe will be able to disrupt the $30B transcription market. The young Canadian company focused earlier on its own wake word (Porcupine), speech-to-text, and speech-to-intent engines. To prove its latest Speech-to-Text solution, Picovoice is offering 100 hours of free transcription per month to showcase that cloud-level accuracy can be achieved without sacrificing privacy, reliability, and affordability.

Cadence Announces New Tensilica HiFi 1 DSP Optimized for Bluetooth LE Audio True Wireless Devices

October 29, 2021 by audioXpress Staff

Cadence Announces New Tensilica HiFi 1 DSP Optimized for Bluetooth LE Audio True Wireless Devices

Cadence Design Systems announced the new Cadence Tensilica HiFi 1 DSP, delivering increased voice- and music-processing performance with optimal neural network capability in a compact footprint with ultra-low energy, improving the user experience and extending battery life. The Tensilica HiFi 1 DSP is now the smallest and lowest power member of the HiFi DSP family, developed for battery-constrained applications, such as mobile, hearables, wearables, automotive, and connected devices.

R&D Stories: Speaker ID Technology

April 26, 2021 by Vikrant Singh Tomar

R&D Stories: Speaker ID Technology

As part of its focus on voice convergence, in its April 2021 edition, audioXpress featured a contributed article by the founder and CEO of Fluent.ai, describing how increasing consumer demand for personalized experiences has sparked the creation of the company’s speaker ID technology, and exploring the challenges that this type of technology still faces. A valuable perspective from a company positioned right at the edge of voice recognition using AI and edge processing. This article was originally published in audioXpress, April 2021.

DSP Group Unveils DBM10 Low-Power Edge AI/ML SoC with Dedicated Neural Network Inference Processor

January 7, 2021 by audioXpress Staff

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, 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.

Syntiant Introduces Second Generation NDP120 Deep Learning Processor for Audio and Sensor Applications

January 7, 2021 by audioXpress Staff

Syntiant Introduces Second Generation NDP120 Deep Learning Processor for Audio and Sensor Applications

Syntiant Corp., the AI for edge devices chip technology company from Irvine, California, announced the availability of its latest Syntiant NDP120 Neural Decision Processor (NDP), a new generation of special purpose chips for audio and sensor processing for always-on applications in battery-powered devices. The low-power Syntiant Core 2 technology in the NDP120 processor delivers 25x the tensor throughput of the core technology found in earlier Syntiant NDP devices that are currently shipping in high volumes.

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.

Voice Commands on The Edge: How Syntiant Is Solving the Power Problem

June 11, 2020 by David Lindberg

Voice Commands on The Edge: How Syntiant Is Solving the Power Problem

Alexa! OK Google! Hey Siri! Did we get your attention? If we were to have read that aloud most of us would have our favorite robot voice asking us what we want. Whether it is Amazon Alexa, Google Home, or another assistant, voice commands are the logical next step in user interfaces (UI). The uptake in the market has been extremely good for these devices. However, deployment has exposed some major issues with this technology. In this article I'm going to discuss the Syntiant NDP 10x processor and how it solves the aforementioned challenges.

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.

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