Paper Info
Title
Libri-adhoc40: A dataset collected from synchronized ad-hoc microphone arrays
Abstract
Recently, there is a research trend on ad-hoc microphone arrays. However, most research was conducted on simulated data. Although some datasets were collected with a small number of distributed devices, they were not synchronized which hinders the fundamental theoretical research on ad-hoc microphone arrays. To address this issue, this paper presents a synchronized speech corpus, named Libri-adhoc40, which collects the replayed Librispeech data from loudspeakers by ad-hoc microphone arrays of 40 strongly synchronized distributed nodes in a real office environment. Besides, to provide the evaluation target for speech frontend processing and other applications, we also recorded the replayed speech in an anechoic chamber. We trained several multi-device speech recognition systems on both the Libri-adhoc40 dataset and a simulated dataset. Experimental results demonstrate the validity of the proposed corpus which can be used as a benchmark to reflect the trend and difference of the models with different ad-hoc microphone arrays. The dataset is online available at https://github.com/ISmallFish/Libri-adhoc40.
Year
Venue
DocType
2021
2021 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC)
Conference
ISSN
Citations 
PageRank 
2309-9402
0
0.34
References 
Authors
0
11
Name
Order
Citations
PageRank
Shanzheng Guan100.34
Shupei Liu200.34
Junqi Chen300.68
Wenbo Zhu4152.42
shengqiang li532.10
Xu Tan621.60
Ziye Yang700.68
Menglong Xu802.70
Yijiang Chen901.35
Jianyu Wang1003.72
Xiao-Lei Zhang11184.44