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Assessing the effectiveness of slides as a mean to improve the automatic transcription of oral presentations

Related publications (39)

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Observation of the decay B̄0→Ds+Λp̄

Olivier Schneider, Aurelio Bay, Stewart Cole, Chao Wang, Tagir Aushev, Vladislav Balagura

We report the first observation of the decay B̄0→Ds+Λ p̄ with a statistical significance of 6.6σ. We measure B(B̄0→Ds+Λp̄)=(2.9±0.7±0.5±0.4) ×10-5, where the first error is statistical, the second is systematic, and the third error comes from the uncertain ...

2007

Towards using slide information to enhance speech transcription of meetings

Hervé Bourlard, Artem Peregoudov, Alessandro Vinciarelli

In this paper we investigate the possibility of improving the speech recognition performance of meeting recordings by using slides captured during the recording process. The key hypothesis exploited in this work is that both slides and speech carry correla ...

IDIAP2006

Multimedia event modelling and recognition

Mark Barnard

The recognition of events in multimedia data is a challenging area of research. The growth in the amount of multimedia data being produced and stored increases the need for systems capable of automatically analysing this data. This analysis can aid in effi ...

EPFL2005

Improving Speech Recognition Using a Data-Driven Approach

Hervé Bourlard, Guillermo Aradilla

In this paper, we investigate the possibility of enhancing state-of-the-art HMM-based speech recognition systems using data-driven techniques, where whole set of training utterances is used as reference models and recognition is then performed through the ...

IDIAP2005

Improving Speech Recognition Using a Data-Driven Approach

Hervé Bourlard, Guillermo Aradilla

2005

Noisy Text Categorization

Alessandro Vinciarelli

This work presents categorization experiments performed over noisy texts. By noisy it is meant any text obtained through an extraction process (affected by errors) from media other than digital texts (e.g. transcriptions of speech recordings extracted with ...

2005

Application of Information Retrieval Techniques to Single Writer Documents

Alessandro Vinciarelli

This work shows Information Retrieval experiments performed over handwritten documents produced by a single writer. The same retrieval task has been performed over both manual (no errors) and automatic (Word Error Rate around 45%) transcriptions of 200 han ...

2005

Noisy Text Categorization

Alessandro Vinciarelli

IDIAP2004

Noisy Text Clustering

David Grangier, Alessandro Vinciarelli

This work presents document clustering experiments performed over noisy texts (i.e. text that have been extracted through an automatic process like speech or character recognition). The effect of recognition errors on different clustering techniques is mea ...

IDIAP2004

Effect of Recognition Errors on Information Retrieval Performance

Alessandro Vinciarelli

This work shows experiments on the retrieval of handwritten documents. The performance of the same state-of-the-art Information Retrieval system is compared when dealing with manual (no errors) and automatic (Word Error Rate around 50%) transcriptions of t ...

IDIAP2004