The sheffield wargames corpus
By C. Fox, Yulan Liu, Erich Zwyssig, Thomas Hain. 2013
25 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Mechanical Engineering, Natural Language Processing, Evaluation & Benchmarks
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Shinji Watanabe
- Emmanuel Vincent
- Jon Barker
- Michael I. Mandel
- Jan "Yenda" Trmal
- Jinyu Li
- John R. Hershey
- Mirco Ravanelli
In Natural Language Processing
In Evaluation & Benchmarks
- Shinji Watanabe
- Emmanuel Vincent
- Jon Barker
- Michael I. Mandel
- Mirco Ravanelli
- Yoshua Bengio
- Maurizio Omologo
- Jinyu Li
Citations in the corpus
- CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings (2020, background): “Early attempts in this direction can be traced back to the ICSI [26], CHIL [27], and AMI [28] meeting corpora, the LLSEC [29] and COSINE [30] face-to-face interaction corpora, and the Sheffield Wargames corpus [31].”
- An analysis of environment, microphone and data simulation mismatches in robust speech recognition (2017, unknown): “…homes (Ravanelli et al., 2015), or tablets (Barker et al., 2015), and automatic transcription of lectures (Lamel et al., 1994), meetings (Renals et al., 2008), conversations (Harper, 2015), di-alogues (Stupakov et al., 2011), game sessions (Fox et al., 2013), or broadcast media (Bell et al., 2015).”
- The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines (2018, background): “Early attempts in this direction can be traced back to the ICSI [24], CHIL [25], and AMI [26] meeting corpora, the LLSEC [27] and COSINE [28] face-to-face interaction corpora, and the Sheffield Wargames corpus [29].”
- A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation (2017, unknown): “38 20 8 moving yes SWC [5]25 game 7 92 1 moving yes CHiME3 [297]26 tablet 19 6 4 moving babble”
- A French Corpus for Distant-Microphone Speech Processing in Real Homes (2016, unknown): “A number of real corpora are now publicly available for environments and application scenarios such as voice command for cars [7–9] and in public spaces [10], automatic transcription of lectures [11], meetings [12–14], dialogues [15, 16] and other public gatherings [17, 18], and automatic transcript”