Machine Listening in Multisource Environments (CHiME 2013)

CHiME 2013 is a one-day workshop to be held in conjunction with ICASSP 2013 that will consider 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 workshop will feature keynote talks from

• Daniel P.W. Ellis - Columbia University
• Steven J. Rennie - IBM T.J. Watson Research Center

The full programme and key note talk presentations now available.

The CHiME Challenge

As a focus for discussion during the day, the workshop will host the 2nd CHiME Speech Separation and Recognition Challenge. This is a two-microphone multisource speech separation and recognition challenge supported by the IEEE AASP, MLSP and SLTC Technical Committees. To find out more please visit the Challenge Website.