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Exploring speech retrieval from meetings using the AMI corpus
Affiliation:1. Unit of Clinical Pharmacology, L. Sacco University Hospital, Milan, Italy;2. Department of Infectious Diseases, L. Sacco University Hospital, Milan, Italy;3. Clinical Pharmacology Unit, CNR Institute of Neuroscience, Dept. Biomedical and Clinical Sciences, L. Sacco University Hospital, Università di Milano, Milan, Italy;4. Scientific Institute IRCCS E.Medea, 23842 Bosisio Parini, Italy;5. Università degli Studi di Milano, Milan, Italy;1. Air Force Research Laboratory, Information Directorate, Rome, NY 13441, USA;2. Department of Mathematics, Syracuse University, Syracuse, NY 13244, USA;1. Department of Mechanical Engineering, Guangdong College of Industry & Commerce, Guangzhou 510510, China;2. Department of Materials Science, Fudan University, Shanghai 200433, China;3. Department of Materials Science & Engineering, Peking University, Beijing 100871, China;1. Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland;2. Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland;3. Department of Speech and Hearing Sciences, University of Arizona, AZ, USA;1. Department of Mathematics and Computer Science, University of Udine, Udine, Italy;2. Department of Computer Science, University of Verona, Verona, Italy
Abstract:
Keywords:Speech retrieval  Recall-focused information retrieval  Informal spoken content search  Retrieval unit segmentation
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