Summary: GN introduced new AI-powered hearing aids powered by deep neural network technology for enhanced speech clarity, which also features Bluetooth LE Audio with Auracast.
- AI-Powered Sound Processing: The ReSound Vivia hearing aid utilizes a deep neural network (DNN) trained on millions of sentences to enhance speech clarity and reduce background noise.
- Advanced Connectivity Features: Both ReSound Vivia and Savi solutions support Bluetooth LE Audio and Auracast, allowing seamless audio streaming in public spaces like theaters, airports, and restaurants.
- Optimized User and Clinician Experience: The new devices offer all-day battery life, discreet design, and improvements for hearing care professionals, including enhanced fitting software and streamlined clinic workflows.
GN announced the launch of its new AI-powered hearing aids ReSound Vivia and ReSound Savi, an essentials range featuring Bluetooth LE Audio and Auracast broadcast audio.
The new ReSound Vivia hearing aids deliver improved sound quality in noisy environments and all-day comfort without compromising size or battery life, according to the company. Central to this innovation is GN’s unique human approach to AI, which models the brain’s natural sound processing capability to create voice clarity in complex listening environments.
GN’s Intelligent Focus feature is distinctive in its ability to respond to the direction a person is looking, ensuring the AI enhances sounds based on the user’s natural response to their environment. GN’s proprietary technology provides a more natural and effortless listening experience, even in challenging situations like noisy restaurants or crowded venues, the company says.
A Deep Neural Network (DNN) Powered Hearing Aid
A new, dedicated Deep Neural Network (DNN) chip enables the superior listening experience. This DNN-powered solution is up to 17 times more efficient than other leading hearing solutions with directionality and DNN noise reduction, resulting in a significant improvement to speech understanding.1 Trained on 13.5 million spoken sentences in various languages and with varied vocal effort, across 3.9 million tuned sound parameters, the DNN can perform 4.9 trillion operations per day to spotlight speech and reduce background noise.
All of this advanced technology is available on the small ReSound Vivia microRIE AI-powered hearing aid. The microRIE style offers 30 hours wear on one battery charge and 20 hours of use for a typical day using a combination of Intelligent Focus and streaming.1 This all-day power ensures users can enjoy uninterrupted hearing and seamless connectivity without compromise, says GN.
“With ReSound Vivia, we’ve fundamentally reimagined how AI can enhance the hearing experience,” says Brian Dam Pedersen, chief technology officer, head of research and technology at GN. “Our unique Intelligent Focus feature mimics natural human behavior, allowing the AI to prioritize sounds based on where the user is looking, not just how loud they are. This creates a far more intuitive and natural listening experience, seamlessly integrating with the user’s own perception of their environment. It’s not just about amplifying sound; it’s about intelligently enhancing the sounds that matter most. And we are not stopping here – all the knowledge, capabilities, and research we have acquired will be applied across other GN products and projects, furthering innovation across the Group.”
More Robust Hearing Loss Solutions
Recognizing the importance of accessibility, GN is launching ReSound Savi to ensure that even more people with hearing loss can experience the latest in connectivity innovation. Both ReSound Vivia and ReSound Savi support Bluetooth LE Audio, including Auracast broadcast audio, the state-of-the-art low- energy connectivity feature. These updates are designed to allow more people than ever to enjoy new streaming and communication opportunities in public places such as theaters, airports, restaurants, and arenas.
As part of these launches, GN also introduced an app that integrates an Auracast Assistant for hearing aids. Connecting to Auracast is now as simple as a single tap in the ReSound Smart 3D app, the company says. This streamlined process simplifies selecting Auracast streams, even with smartphones and devices that don’t yet have an Auracast assistant built in.
“ReSound Vivia and ReSound Savi represent a significant leap forward. Now you can have it all with ReSound Vivia, which combines world leading sound quality, all-day battery life, and the smallest size on the market for discretion and comfort, so users can hear their best without compromise,” says Scott Davis, hearing division president at GN. “With ReSound Savi, we’re making our cutting-edge connectivity, including Bluetooth LE Audio and Auracast, accessible to a wider audience. These two product lines demonstrate GN’s unwavering commitment to delivering innovation that brings people closer to each other and the things they love to do.”
Further Reading
Support for Hearing Care Professionals
With these new announcements, GN also noted the challenges and specific needs of hearing care professionals and revealed it is also introducing improvements to fitting software, alignment of domes and receivers for optimal comfort and acoustic performance across the portfolio, and exchangeable mic filters for easy care that improves hygiene and device longevity. These enhancements are designed to streamline clinic workflow, improve fitting accuracy, and ultimately enhance the user experience.
Stylings for the ReSound Vivia and Savi
The new ReSound Vivia hearing aids are available in a microRIE rechargeable and two non- rechargeable RIE models, including a CROS model in the microRIE style, and are availabile in a wide variety of colors. ReSound Savi is available in a new miniRIE rechargeable and two non-rechargeable RIE models in five modern colors.
The ReSound Vivia and ReSound Savi hearing aids will be rolled out in the U.S. and Germany on Feb. 20, 2025 with more markets following, along with the equivalent Beltone Envision and Beltone Commence line-ups.
References:
- GN Proprietary data on file
Photo: GN