首页> 外国专利> METHOD AND APPARATUS FOR ESTIMATING DIRECTION OF ENSEMBLE SOUND SOURCE BASED ON DEEPENING NEURAL NETWORK FOR ESTIMATING DIRECTION OF SOUND SOURCE ROBUST TO REVERBERATION ENVIRONMENT

METHOD AND APPARATUS FOR ESTIMATING DIRECTION OF ENSEMBLE SOUND SOURCE BASED ON DEEPENING NEURAL NETWORK FOR ESTIMATING DIRECTION OF SOUND SOURCE ROBUST TO REVERBERATION ENVIRONMENT

机译:基于加深神经网络的估计鲁棒环境重音神经网络方向的估计声源方向的方法和装置

摘要

An ensemble sound source direction estimation method and apparatus based on deep neural network for robust sound source direction estimation are proposed. An ensemble sound source direction estimation method based on a deep neural network according to an embodiment includes extracting a feature vector from speech data of a reverberation environment; Estimating a reverberation environment probability according to the reverberation environment of the speech data; Generating an ensemble sound source direction estimation model by combining a plurality of deep neural networks in a pre-learned reverberation environment with an ensemble by using a weighted average method based on the estimated reverberation environment probability; And estimating a sound source direction based on the ensemble sound source direction estimation model.
机译:提出了一种基于深度神经网络的鲁棒声源方向估计的集成声源方向估计方法和装置。根据实施例的基于深度神经网络的整体声源方向估计方法包括:从混响环境的语音数据中提取特征向量;以及根据语音数据的混响环境估计混响环境概率;通过使用基于估计的混响环境概率的加权平均方法,将预学习的混响环境中的多个深度神经网络与合奏组合,生成合奏声源方向估计模型;并且基于集合声源方向估计模型估计声源方向。

著录项

  • 公开/公告号KR102087307B1

    专利类型

  • 公开/公告日2020-03-10

    原文格式PDF

  • 申请/专利权人 한양대학교 산학협력단;

    申请/专利号KR20180030080

  • 发明设计人 장준혁;권오현;박송규;

    申请日2018-03-15

  • 分类号G01S3/802;G06N3/02;G10L25/30;

  • 国家 KR

  • 入库时间 2022-08-21 11:05:09

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