Two-stream indexing for spoken web search

Audio mining
DOI: 10.1145/1963192.1963364 Publication Date: 2011-03-29T12:02:18Z
ABSTRACT
This paper presents two-stream processing of audio to index the content for Spoken Web search. The first stream indexes meta-data associated with a particular document. is usually very sparse, but accurate. therefore results in high-precision, low-recall index. second uses novel language-independent speech recognition generate text be indexed. Owing multiple languages and noise user generated on Web, accuracy such systems not high, thus they result low-precision, high-recall attempts use these two complementary streams combined increase precision-recall performance
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