Publications by David Grangier

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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 Text Clustering

David Grangier, Alessandro Vinciarelli

This paper presents clustering experiments performed over noisy texts (i.e. texts that have been extracted through an automatic process like character or speech recognition). The effect of recognition errors is investigated by comparing clustering results ...

IDIAP2004

Effect of Segmentation Method on Video Retrieval Performance

David Grangier, Alessandro Vinciarelli

This paper presents experiments that evaluate the effect of different video segmentation methods on text-based video retrieval. Segmentations relying on modalities like speech, video and text or their combination are compared with a baseline sliding window ...

IDIAP2004

Making Retrieval Faster Through Document Clustering

David Grangier, Alessandro Vinciarelli

This work addresses the problem of reducing the time between query submission and results output in a retrieval system. The goal is achieved by considering only a database fraction as small as possible during the retrieval process. Our approach is based on ...

IDIAP2004

Information Retrieval on Noisy Text

Hervé Bourlard, David Grangier, Alessandro Vinciarelli

Spoken Document Retrieval (SDR) consists in retrieving segments of a speech database that are relevant to a query. The state-of-the-art approach to the SDR problem consists in transcribing the speech data into digital text before applying common Informatio ...

IDIAP2003

David Grangier

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Inferring Document Similarity from Hyper-links

Noisy Text Clustering

Effect of Recognition Errors on Text Clustering

Effect of Segmentation Method on Video Retrieval Performance

Making Retrieval Faster Through Document Clustering

Information Retrieval on Noisy Text

Inferring Document Similarity from Hyper-links

Noisy Text Clustering

Effect of Recognition Errors on Text Clustering

Effect of Segmentation Method on Video Retrieval Performance

Making Retrieval Faster Through Document Clustering

Information Retrieval on Noisy Text