Machine Listening in Multisource Environments (CHiME 2011)CHiME 2011 was an ISCA-approved satellite workshop of Interspeech 2011 that considered the challenge of developing machine listening applications for operation in multisource environments, i.e. real-world conditions with acoustic clutter, where the number and nature of the sound sources is unknown and changing over time. CHiME brings together researchers from a broad range of disciplines (computational hearing, blind source separation, speech recognition, machine learning) to discuss novel and established approaches to this problem. The cross-fertilisation of ideas will foster fresh approaches that efficiently combine the complementary strengths of each research field.
Relevant research topics include (but are not limited to),
- automatic speech recognition in multisource environments,
- acoustic event detection in multisource environments,
- sound source detection and tracking in multisource environments,
- music information retrieval in multisource environments,
- sound source separation or enhancement in multisource environments,
- robust feature extraction and classification in multisource environments,
- scene analysis and understanding for multisource environments.
The PASCAL CHiME ChallengeAs a focus for discussion during the day, the workshop acted as host to the PASCAL CHiME Speech Separation and Recognition Challenge. This is a binaural, multisource speech separation and recognition challenge supported by the EU PASCAL network and the UK EPSRC. To find out more please visit the Challenge Website.
CHiME 2011, September 1Florence, Italy
- Jon Barker (UK)
- Emmanuel Vincent (FR)
- Walter Kellermann (DE)
- Dan Ellis (US)
- John Hershey (US)
- Hiroshi Okuno (JP)
- Phil Green (UK)