Details

Autor(en) / Beteiligte

• Iso, K.-I.

Titel

Web-based topic language modeling for audio indexing

Ist Teil von

• 2009 IEEE International Conference on Multimedia and Expo, 2009, p.826-829

Ort / Verlag

IEEE

Erscheinungsjahr

2009

Quelle

IEEE Xplore

Beschreibungen/Notizen

• We describe the implementation of a scalable architecture for audio indexing, in which topic-dependent language models (LMs) were trained on Web pages categorized in a portal Web directory and stored on distributed servers. Input speech was decoded in parallel on servers that each had an individual topic LM. From the decoders' outputs, an optimal hypothesis was chosen for each utterance by a topic-selection criterion minimizing an energy function with three terms: likelihood scores for the utterances; keyword co-occurrence statistics to measure the long-distance correlation; and Web-based hypothesis verification scores, which penalize misrecognized trigrams through web search results. Experimental results showed that the proposed approach outperformed the baseline topic-independent system by 6.0% absolutely (20.0% relatively) in character accuracy.