AI technology is bringing new hope for solving the plight of the hearing impaired, which is expected to benefit about 2.5 billion people by 2050.
Part.2
Content
At a concert, you can't wait for the symphony to begin. However, when the playing begins, the music is muted. After several minutes of anxious waiting, the sound finally comes through, but it is distorted, sometimes too faint, and sometimes muffled by the surrounding clamor.What should have been an enjoyable experience turned into a bad one. This is exactly the situation that countless deaf people experience in their lives:Surrounded by the music of life, but unable to savor the melody.According to World Health Organization estimates, there are more than 1.5 billion people globally, almost one out of every five people on the planet.dangerThere are different levels ofthird quarter of a yearHearing loss. More worryingly, by 2050, that number could increase to more than 2.5 billion.Untreated hearing loss not only affects individuals, but also carries significant annual global costs, including healthcare costs, educational support, and lost productivity, which are estimated to reach $980 billion.
Part.3
Treating hearing loss presents a number of challenges:
Screening and diagnosis: Traditional hearing tests often cannot be simulated in a real environment, leading to misdiagnosis. For the most severely affected populations, such as the elderly, even accessing a doctor can be very difficult.Devices and Implants: Conventional hearing aids, while capable of amplifying sound, are often unable to distinguish between background noise and the dominant sound, resulting in a distorted sound experience, much like the symphonic disaster mentioned earlier.Cooperation and treatment: Patients usually require frequent visits to the clinic, hearing aids provide limited adjustment, and treatment is unsatisfactory.Despite some advances in hearing aid technology over the past few decades, patients still face the same challenges.However, with the advancement of Artificial Intelligence (AI), the future is full of promise and promises to revolutionize the situation.
Part.4
AI Hearing Revolution:
For many, AI may seem like an abstract concept that belongs in sci-fi movies and dreams of the future, but in reality it's gradually becoming a part of everyday life, quietly working behind the scenes to streamline processes and enhance experiences.
Deep learning (DL) is an artificial intelligence technique inspired by the structure and function of the human brain.DL algorithms excel at processing large amounts of data, learning the hidden patterns within it, and continuously improving their predictive capabilities. They are particularly good at processing unstructured data such as audio, video, images and text.In audiology, artificial intelligence and deep learning have introduced a new generation of hearing devices. These devices have new features such as distinguishing between sounds, dynamically adapting to the environment and rapid personalization.Starkey's Genesis AI, for example, boasts a state-of-the-art neural processor that utilizes the capabilities of its Deep Learning Accelerator engine. Mimicking the function of the human cerebral cortex, Genesis AI enhances speech intelligibility while minimizing background noise.Other companies such as Oticon have set the benchmark by training on 12 million "sound scenes". This comprehensive training allows these devices to deliver 30% more sound clarity to the brain than conventional devices.These advanced hearing aids also feature an intuitive user experience. For example, Widex provides the flexibility to set up to individual preferences by detecting the user's environmental settings with its MySound user interface.This sounds impressive, but how did it turn out? Imagine sitting in a busy restaurant. Traditional hearing aids might amplify the clinking of glasses or the rustling in the kitchen. AI-powered devices, on the other hand, help people focus on intimate dinner conversations while filtering out background noise. Coupled with customizable settings and real-time feedback, the result is a device that learns with every conversation to dramatically improve traditional static hearing aids.
Part.5
Overcoming barriers to AI-driven audiology:
While AI-enhanced hearing aids represent a significant leap forward, they still cannot fully replicate the human brain's ability to process sound. To overcome this obstacle, three immediate problems must be addressed:Data quality: the effectiveness of AI models depends on the quality and breadth of training data. Accumulating accurate and diverse auditory data is a major challenge in the current AI field.Data privacy: AI-enhanced devices are constantly listening in and can sometimes access sensitive data including personal health information. Ensuring appropriate access and data use is therefore critical, especially as comprehensive data privacy and ethics are still lacking globally.Computational constraints: mimicking the human auditory system requires a lot of computational power. The size of conventional hearing aids limits the capability, at least using current technology: it is not possible to fit in a chip for real-time processing, provide longer battery life, and address overheating.
Part.6
Redefining the listening experience - looking to the future:
Hearing aids have not only improved in functionality, but have also undergone a shift in design. What was once seen as an eye-catching device has been redesigned to blend in with the wearer's personality.They are evolving into accessories that blend in with fashion and help reduce the social stigma associated with hearing aids. This shift is similar to the journey of eyeglasses, which have successfully transformed from a mere vision aid to a fashion statement.Imagine a senior citizen who suffers from chronic hearing difficulties and lives alone in the suburbs. His stylish hearing aid fits perfectly into his smart home system and has health monitoring features. In addition to helping to hear more clearly, the device wirelessly plays his favorite music, alerts him to visitors, constantly monitors his physical activity, detects falls, and alerts his family in case of an emergency.Thus, this field not only holds great potential, but also has the potential to change the lives of hundreds of millions, if not billions, of people, which is an aspirational prospect.
Company Profile
Beijing Everloyal technology co., LTDIt is invested by Zhongke (Guangdong) Science Group, relying on Guangdong Human Factors Technology Research Institute and Wuhan Human Factors Engineering Technology Research Institute, and is a new type of high-tech enterprise based on the direction of psychological human factors, driving human factors, biomechanics, user experience, virtual reality and other directions, integrating production, research and development, sales and technical services, and has been selected as a national high-tech enterprise, a science and technology-based small and medium-sized enterprise, and a high-tech enterprise on the list of Zhongguancun. High-tech enterprise list. The driving human factors system, virtual reality graphical editing software, light environment psychological assessment system and psychological and human factors experimental teaching system developed by Hengzhi Technology have entered the domestic market.As the sole agent of Poland Cortivision NIR, Russia Mitsar EEG in China, the sole agent of Italy BTS surface EMG and other biomechanical and gait analysis products in China, and the sole agent of Netherlands Noldus Behavioral Science, Sweden Tobii Eye Motion Instrument, Netherlands MindMedia Physiology and Biofeedback, US Biopac Physiology, US ETT The domestic licensed agent of products such as olfactory/taste stimulator. The high-tech products operated have served the top universities and the highest level of scientific research units in China, including Tsinghua University, Beijing Normal University, Northeast Normal University, Yanshan University, Qiyuan Laboratory, Xi'an University of Architecture and Technology, Northwest Agriculture and Forestry University of Science and Technology, Shenzhen University of Technology, Xi'an University of Science and Technology, Shanghai University, the Second Institute of Aerospace, 27 and 28 of China Electronics Technology Group, while providing technical support for ink Netease, Huawei technology to provide technical support, in the field of talent training, scientific research cooperation, transformation of results and other scientific and technological areas of continuous in-depth cooperation. Follow us at
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