The design and collection of COSINE, a multi-microphone in situ speech corpus recorded in noisy environments

By A. Stupakov, E. Hanusa, Deepak Vijaywargi, Dieter Fox, J. Bilmes. 2012

34 citations recorded by the source corpus.

Subfields: Computational Mechanics, Evaluation & Benchmarks, Speech & Audio, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Lei Xie
2. Jun Du
3. Zhuo Chen
4. Jian Wu
5. Jingdong Chen
6. Deliang Wang

In Evaluation & Benchmarks

1. Lei Xie
2. Jun Du
3. Zhuo Chen
4. Jian Wu

In Speech & Audio

1. Lei Xie
2. Jun Du
3. Zhuo Chen
4. Hui Bu
5. Jian Wu
6. Jingdong Chen
7. Shinji Watanabe

In Signal Processing

1. Jian Wu
2. Lei Xie
3. Zhuo Chen
4. Jun Du
5. Shubo Lv
6. Hui Bu
7. Yanxin Hu
8. Xin Xu

Citations in the corpus

• CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings (2020, neutral): “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].”
• A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation (2017, unknown): “Aurora-321 car ∼20 4 1 static no AMI [294]22 meeting 100 16 3 static yes DICIT [295]23 TV order 6 16 1 moving no COSINE [296]24 discuss.”
• VoiceHome-2, an extended corpus for multichannel speech processing in real homes (2019, unknown): “…transcription of lectures (Lamel et al., 1994), meetings (Janin et al., 2003; Mostefa et al., 2007; Renals et al., 2008), dialogs (LLSEC, 1996; Stupakov et al., 2011) and other public gatherings (Lincoln et al., 2005; Fox et al., 2013), and automatic transcription of noisy or overlapped…”
• An analysis of environment, microphone and data simulation mismatches in robust speech recognition (2017, unknown): “, 2008), conversations (Harper, 2015), dialogues (Stupakov et al., 2011), game sessions (Fox et al.”
• 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”
• The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines (2018, unknown): “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].”
• AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario (2021, background): “The data scale of Santa Barbara Corpus of Spoken American English [19] is considerable.”