An Acoustic Events Recognition for Robotic Systems Based on a Deep Learning Method

• 作者: Masaaki Wajima Masahiro Kinoshita Ryosuke Ooe Tadaaki Niwa Takashi Kawakami Tamotsu Mitamura
• 来源期刊: 电脑和通信(英文)
• 学科: 医学
• 关键词: ACOUSTIC EVENTS RECOGNITION DEEP Learning RESTRICTED BOLTZMANN Machine
• 年，卷（期）: dnhtxyw_2015,（11）
• 页码范围: 46-51
• 页数: 6页
• 分类号: R73

摘要

In this paper, we provide a new approach to classify and recognize the acoustic events for multiple autonomous robots systems based on the deep learning mechanisms. For disaster response robotic systems, recognizing certain acoustic events in the noisy environment is very effective to perform a given operation. As a new approach, trained deep learning networks which are constructed by RBMs, classify the acoustic events from input waveform signals. From the experimental results, usefulness of our approach is discussed and verified.