FOR 1732: Individualised Hearing Acoustics: Models, Algorithms and Systems for Securing Acoustic Perception for all People in all Situations

FOR 1732：个性化听觉声学：确保所有人在所有情况下的声学感知的模型、算法和系统

• 批准号: 197369429
• 金额: --
• 依托单位: Abteilung Medizinische Physik
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2012
• 资助国家: 德国
• 起止时间: 2011-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/197369429?language=en
• 关键词: 1732; Individualised; Hearing; Acoustics; Models

Even though acoustical (speech) communication is the basis of our culture, it underlies enormous challenges in our communication society, especially due to deficiencies in the communication channel: Ubiquitous interfering noise, reverberation, an overt or concealed hearing loss within approximately 18% of our population produces communication problems in daily-life situations. Relevant acoustical scenarios range from living environments for elderly people to acoustic communication at train stations, in public transport, in a car or at a cocktail-party. Available techniques for individual support of hearing (i.e., hearing aids or Bluetooth headsets) are still very limited with respect to their target group, the respective application scenario and the functionality (i.e., ¿effective¿ auditory support of the individual user). Furthermore, individual preferences and expectations are often not sufficiently considered by the available technology, limiting their benefits and acceptance.The Research Unit ¿Individualized Hearing Acoustics¿ tackles the resulting three cardinal problems from an acoustical view: The (still unsolved) problem of interfering noise, the (to-be-optimized) individual sound presentation and the individualization problem. How can these problems be solved to maintain the correct perception of an acoustical signal (speech, music, alarm signals,¿) for the individual (potentially hearing-impaired) human in an acoustical ¿difficult¿ situation? To tackle these central research questions, acoustical presentation techniques and algorithms are being developed that - based on advanced knowledge and models of the auditory system - attempt to optimize acoustical perception in as many situations as possible for many individual user profiles. The concepts are implemented and tested with demonstrators that range from a scalable, binaural hearing aid to noise-adaptive sound field reproduction with individual sound quality optimization. Hence, the work from the Research Unit should serve as the basis for future acoustical systems that optimize the acoustical perception for all humans in all acoustical situations.

尽管声学（语音）通信是我们文化的基础，但它是我们通信社会的巨大挑战的基础，特别是由于通信信道的缺陷：无处不在的干扰噪声，混响，约18%的人口中的明显或隐藏的听力损失在日常生活中产生了通信问题。相关的声学场景范围从老年人的生活环境到火车站、公共交通工具、汽车或鸡尾酒会上的声学通信。可用于个人听力支持的技术（即，助听器或蓝牙耳机）在其目标群体、各自的应用场景和功能（即，对个人用户的有效听觉支持）。此外，个人的喜好和期望往往没有得到充分考虑的现有技术，限制了他们的好处和接受度。研究单位<$个性化听觉声学<$处理由此产生的三个主要问题从声学的观点：（仍然没有解决）的干扰噪声的问题，（待优化）个人的声音呈现和个性化的问题。如何解决这些问题，以在声学困难的情况下保持个体（潜在听力受损的）人对声学信号（语音、音乐、警报信号）的正确感知？为了解决这些中心的研究问题，声学呈现技术和算法正在开发-基于先进的知识和模型的听觉系统-试图优化声学感知在尽可能多的情况下，许多个人用户配置文件。这些概念已经过实施和测试，演示者的范围从可扩展的双耳助听器到具有单独音质优化的噪声自适应声场再现。因此，研究单位的工作应该作为未来声学系统的基础，优化所有人类在所有声学情况下的声学感知。