IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
AUD-2.6

WEARABLE SELD DATASET: DATASET FOR SOUND EVENT LOCALIZATION AND DETECTION USING WEARABLE DEVICES AROUND HEAD

Kento Nagatomo, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan; Masahiro Yasuda, Shoichiro Saito, NTT Corporation, Japan

Session:
Detection and Classification of Acoustic Scenes and Events I: Datasets

Track:
Audio and Acoustic Signal Processing

Location:
Gather Area K

Presentation Time:
Sun, 8 May, 21:00 - 21:45 China Time (UTC +8)
Sun, 8 May, 13:00 - 13:45 UTC

Session Chair:
Magdalena Fuentes, New York University
Presentation
Discussion
Resources
Session AUD-2
AUD-2.1: INFANT CRYING DETECTION IN REAL-WORLD ENVIRONMENTS
Xuewen Yao, Megan Micheletti, Mckensey Johnson, Edison Thomaz, Kaya de Barbaro, University of Texas at Austin, United States of America
AUD-2.2: wikiTAG: Wikipedia-based knowledge embeddings towards improved acoustic event classification
Qin Zhang, Qingming Tang, Chieh-Chi Kao, Ming Sun, Yang Liu, Chao Wang, Amazon Inc, United States of America
AUD-2.3: URBAN SOUND & SIGHT: DATASET AND BENCHMARK FOR AUDIO-VISUAL URBAN SCENE UNDERSTANDING
Magdalena Fuentes, Bea Steers, Julia Wilkins, Qianyi Shi, Yao Hou, Juan Pablo Bello, New York University, United States of America; Pablo Zinemanas, Xavier Serra, Universitat Pompeu Fabra, Spain; Martin Rocamora, Universidad de la Republica, Uruguay; Luca Bondi, Samarjit Das, Bosch Research, United States of America
AUD-2.4: REAL-WORLD ON-BOARD UAV AUDIO DATA SET FOR PROPELLER ANOMALIES
Sai Srinadhu Katta, Kide Vuojärvi, Sivaprasad Nandyala, Ulla-Maria Kovalainen, Lauren Baddeley, Secure Systems Research Centre (SSRC) - Technology Innovation Institute (TII), United Arab Emirates
AUD-2.5: VOCALSOUND: A DATASET FOR IMPROVING HUMAN VOCAL SOUNDS RECOGNITION
Yuan Gong, James Glass, Massachusetts Institute of Technology, United States of America; Jin Yu, Signify Research, United States of America
AUD-2.6: WEARABLE SELD DATASET: DATASET FOR SOUND EVENT LOCALIZATION AND DETECTION USING WEARABLE DEVICES AROUND HEAD
Kento Nagatomo, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan; Masahiro Yasuda, Shoichiro Saito, NTT Corporation, Japan