公开(公告)号：US20230129442A1

公开(公告)日：2023-04-27

申请号：US17964405

申请日：2022-10-12

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY ,  IUCF-HYU (Industry-University Cooperation Foundation Hanyang University)

Inventor： Yoonseob LIM ,  Seung-Cheol BAEK ,  Jae Ho CHUNG ,  Jiyeon HA

IPC: G10L25/78 ,  G10L25/51

Abstract: A system for detecting a sound to which a user is attending based on neural signals includes an audio signal collection unit to collect audio signals including two or more sounds from a surrounding environment around the user; a neural signal collection unit to collect the neural signals of the user; an attended sound detection unit to analyze correlations between the two or more sounds included in the audio signals and the neural signals of the user in real time and determine the sound to which the user is attending based on the correlations; a database unit to store a result of the detection; and an output unit to select and output the stored individual audio signal or output the result of detecting the attended sound in real time according to the presence or absence of the audio signal in the surrounding environment around the user.

公开(公告)号：US20160210988A1

公开(公告)日：2016-07-21

申请号：US14950344

申请日：2015-11-24

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Yoonseob LIM ,  Jongsuk CHOI

IPC: G10L25/84 ,  G10L25/18 ,  G10L25/24

CPC classification number: G10L25/51 ,  G10L25/06 ,  G10L25/18 ,  G10L25/24

Abstract: A sound source classification step according to an exemplary embodiment of the present disclosure includes the steps for detecting a sound stream for a preset period when a sound signal is generated, dividing the detected sound stream into a plurality of sound frames and extracting a sound source feature for each of the plurality of sound frames, and classifying each of the sound frames into one of pre-stored reference sound sources based on the extracted sound source feature, analyzing a correlation between the classified reference sound sources using the classification results, and classifying the sound stream using the analyzed correlation.

Abstract translation: 根据本公开的示例性实施例的声源分类步骤包括以下步骤：在产生声音信号时检测预设时段的声音流，将检测到的声音流分成多个声音帧并提取声源特征 对于所述多个声音帧中的每一个，并且基于所提取的声源特征将每个所述声音帧分类为预先存储的参考声源之一，使用所述分类结果分析所述分类的参考声源之间的相关性，并且对 声流使用分析相关。