Term clouds as surrogates for user generated speech

User generated spoken audio remains a challenge for Automatic Speech Recognition (ASR) technology and content-based audio surrogates derived from ASR-transcripts must be error robust. An investigation of the use of term clouds as surrogates for podcasts demonstrates that ASR term clouds closely approximate term clouds derived from human-generated transcripts across a range of cloud sizes. A user study confirms the conclusion that ASR-clouds are viable surrogates for depicting the content of podcasts. Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval General Terms Algorithms, Measurement, Performance, Experimentation

• Type: Journal
• Year: 2008
• Where: SIGIR
• Authors: Manos Tsagkias, Martha Larson, Maarten de Rijke
• Keywords: Content-based Audio Surrogates, Information Technology, SIGIR 2008, Surrogates, Term Clouds