Paper Info
Title
Development of distant multi-channel speech and noise databases for speech recognition by in-door conversational robots
Abstract
In this paper, we presents the method and procedure for collecting the Korean distant multi-channel speech and noise databases, which were designed for developing the highly accurate distant speech recognition system for indoor conversational robot applications. The speech database was collected at four different distant positions in an in-door room, which was furnished to simulate a living room acoustically, by the playback-and-recording method that uses an artificial mouth for playing the clean source speech data and three kinds of multi-channel microphone arrays for recording the distant speech data. The speech database further consists of a read speech dataset and two conversational speech datasets. Additionally, the noise database consists of 12 types of in-door noise, which were collected at a single distant position with the same approach. These speech and noise databases can be used for creating simulated noisy speech data reflecting various in-door acoustic conditions corrupted by room reverberation and additive noise.
Year
DOI
Venue
2017
10.1109/ICSDA.2017.8384419
2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)
Keywords
Field
DocType
speech database,distant speech recognition,multi-channel,conversational speech
Reverberation,Computer science,Multi channel,Speech recognition,Robot,Microphone,Database,Living room
Conference
ISBN
Citations 
PageRank 
978-1-5386-3334-2
0
0.34
References 
Authors
1
9
Name
Order
Citations
PageRank
Youngjoo Suh100.34
Younggwan Kim2176.11
Hyungjun Lim3317.66
Jahyun Goo401.35
Youngmoon Jung534.42
Yeonjoo Choi600.34
Hoirin Kim742.41
Dae-Lim Choi841.76
Yongju Lee900.34