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ICASSP
2008
IEEE

Automatic lecture transcription by exploiting presentation slide information for language model adaptation

12 years 1 months ago
Automatic lecture transcription by exploiting presentation slide information for language model adaptation
The paper addresses language model adaptation for automatic lecture transcription by fully exploiting presentation slide information used in the lecture. As the text in the presentation slides is small in its size and fragmentary in its content, a robust adaptation scheme is addressed by focusing on the keyword and topic information. Several methods are investigated and combined; first, global topic adaptation is conducted based on PLSA (Probabilistic Latent Semantic Analysis) using keywords appearing in all slides. Web text is also retrieved to enhance the relevant text. Then, local preference of the keywords are reflected with a cache model by referring to the slide used during each utterance. Experimental evaluations on real lectures show that the proposed method combining the global and local slide information achieves a significant improvement of recognition accuracy, especially in the detection rate of content keywords.
Tatsuya Kawahara, Yusuke Nemoto, Yuya Akita
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICASSP
Authors Tatsuya Kawahara, Yusuke Nemoto, Yuya Akita
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