Department of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, 3008, Switzerland.
Hearing Research Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, 3008, Switzerland.
Sci Data. 2020 Dec 17;7(1):440. doi: 10.1038/s41597-020-00777-8.
The Cocktail Party Effect refers to the ability of the human sense of hearing to extract a specific target sound source from a mixture of background noises in complex acoustic scenarios. The ease with which normal hearing people perform this challenging task is in stark contrast to the difficulties that hearing-impaired subjects face in these situations. To help patients with hearing aids and implants, scientists are trying to imitate this ability of human hearing, with modest success so far. To support the scientific community in its efforts, we provide the Bern Cocktail Party (BCP) dataset consisting of 55938 Cocktail Party scenarios recorded from 20 people and a head and torso simulator wearing cochlear implant audio processors. The data were collected in an acoustic chamber with 16 synchronized microphones placed at purposeful positions on the participants' heads. In addition to the multi-channel audio source and image recordings, the spatial coordinates of the microphone positions were digitized for each participant. Python scripts were provided to facilitate data processing.
鸡尾酒会效应是指人类听觉系统在复杂的声学环境中从背景噪声中提取特定目标声源的能力。正常听力的人能够轻松完成这项具有挑战性的任务，而听力受损的人在这种情况下则会遇到很大的困难。为了帮助佩戴助听器和植入物的患者，科学家们正在努力模仿人类听觉的这种能力，目前已经取得了一定的成果。为了支持科学界的努力，我们提供了 Bern Cocktail Party (BCP) 数据集，其中包含 55938 个鸡尾酒会场景，这些场景是从 20 个人和一个佩戴人工耳蜗音频处理器的头和躯干模拟器中录制的。数据是在一个声学室内收集的，该声学室内有 16 个同步麦克风，放置在参与者头部的有意位置。除了多通道音频源和图像记录外，还为每个参与者数字化了麦克风位置的空间坐标。我们提供了 Python 脚本以方便数据处理。
