Abstract
The CHiME challenge series aims to advance far field speech recognition technology by promoting research at the interface of signal processing and automatic speech recognition. This paper presents the design and outcomes of the 3rd CHiME Challenge, which targets the performance of automatic speech recognition in a real-world, commercially-motivated scenario: a person talking to a tablet device that has been fitted with a six-channel microphone array. The paper describes the data collection, the task definition and the baseline systems for data simulation, enhancement and recognition. The paper then presents an overview of the 26 systems that were submitted to the challenge focusing on the strategies that proved to be most successful relative to the MVDR array processing and DNN acoustic modeling reference system. Challenge findings related to the role of simulated data in system training and evaluation are discussed.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 504-511 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781479972913 |
| DOIs | |
| Publication status | Published - 2016 Feb 10 |
| Externally published | Yes |
| Event | IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Scottsdale, United States Duration: 2015 Dec 13 → 2015 Dec 17 |
Other
| Other | IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 |
|---|---|
| Country | United States |
| City | Scottsdale |
| Period | 15/12/13 → 15/12/17 |
Fingerprint
Keywords
- 'CHiME' challenge
- microphone array
- Noise-robust ASR
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
Cite this
The third 'CHiME' speech separation and recognition challenge : Dataset, task and baselines. / Barker, Jon; Marxer, Ricard; Vincent, Emmanuel; Watanabe, Shinji.
2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 504-511 7404837.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - The third 'CHiME' speech separation and recognition challenge
T2 - Dataset, task and baselines
AU - Barker, Jon
AU - Marxer, Ricard
AU - Vincent, Emmanuel
AU - Watanabe, Shinji
PY - 2016/2/10
Y1 - 2016/2/10
N2 - The CHiME challenge series aims to advance far field speech recognition technology by promoting research at the interface of signal processing and automatic speech recognition. This paper presents the design and outcomes of the 3rd CHiME Challenge, which targets the performance of automatic speech recognition in a real-world, commercially-motivated scenario: a person talking to a tablet device that has been fitted with a six-channel microphone array. The paper describes the data collection, the task definition and the baseline systems for data simulation, enhancement and recognition. The paper then presents an overview of the 26 systems that were submitted to the challenge focusing on the strategies that proved to be most successful relative to the MVDR array processing and DNN acoustic modeling reference system. Challenge findings related to the role of simulated data in system training and evaluation are discussed.
AB - The CHiME challenge series aims to advance far field speech recognition technology by promoting research at the interface of signal processing and automatic speech recognition. This paper presents the design and outcomes of the 3rd CHiME Challenge, which targets the performance of automatic speech recognition in a real-world, commercially-motivated scenario: a person talking to a tablet device that has been fitted with a six-channel microphone array. The paper describes the data collection, the task definition and the baseline systems for data simulation, enhancement and recognition. The paper then presents an overview of the 26 systems that were submitted to the challenge focusing on the strategies that proved to be most successful relative to the MVDR array processing and DNN acoustic modeling reference system. Challenge findings related to the role of simulated data in system training and evaluation are discussed.
KW - 'CHiME' challenge
KW - microphone array
KW - Noise-robust ASR
UR - http://www.scopus.com/inward/record.url?scp=84964452021&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964452021&partnerID=8YFLogxK
U2 - 10.1109/ASRU.2015.7404837
DO - 10.1109/ASRU.2015.7404837
M3 - Conference contribution
AN - SCOPUS:84964452021
SP - 504
EP - 511
BT - 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -