ENVIRONMENTAL SOUND RECOGNITION

我们建议进行研究，以开发一种辅助工具， 听力受损者的听力设备。 该装置将监测 声学环境，以便检测和分离各个声音， 背景噪音和彼此。 它能识别熟悉的声音。 它会根据陌生声音与已知声音的相似性来描述它们。 声音，以及与感知概念相关的定性术语， 响度、持续时间、音高和音调。 第一阶段有两个目标。 首先是确定一个 一种新的时-频-幅定位声事件的方法 连续体 该技术对这种表示的小区域进行分类 分为四个基本类别，并将区域合并到声学事件中 使用的规则完全来自物理声学。 第二个目标是 验证基于感知的表示对于 识别声音。 拟议代表的有效性 将与二维倒频谱表示的倒频谱进行比较， 这已经被证明对于声学图案处理是有用的。 如果成功，由此产生的技术将允许开发 比目前可用的更强大的辅助听力设备，以及 用于其他医疗和工作场所应用的声学监测器。

We propose to undertake research leading to the development of an assistive listening device for the hearing impaired. This device would monitor the acoustic environment in order to detect and separate individual sounds from background noise and from each other. It would identify familiar sounds. It would describe unfamiliar sounds in terms of their similarity to known sounds, and in qualitative terms related to perceptual notions such as loudness, duration, pitch, and abruptness. Phase I has two goals. The first is to determine the feasibility of a novel technique for locating acoustic events in a time-frequency-amplitude continuum. The technique classifies small regions of this representation into four fundamental classes, and merges regions into acoustic events using rules derived solely from physical acoustics. The second goal is to verify the utility of a perceptually-based representation for the identification of sounds. The effectiveness of the proposed representation will be compared to that of a two-dimensional cepstral representation, which has been shown to be useful for acoustic pattern processing. If successful, the resulting technology would permit the development of more powerful assistive listening devices than are currently available, and of acoustic monitors for other medical and workplace applications.