Title
HAMEX - A Handwritten and Audio Dataset of Mathematical Expressions
Abstract
In this paper, we present HAMEX, a new public dataset that contains mathematical expressions available in their on-line handwritten form and in their audio spoken form. We have designed this dataset so that, given a mathematical expression, its handwritten signal and its audio signal can be used jointly to design multimodal recognition systems. Here, we describe the different steps that allowed us to acquire this dataset, from the creation of the mathematical expression corpora (including expressions from Wikipedia pages) to the segmentation and the transcription of the collected data, via the data collection process itself. Currently, the dataset contains 4 350 on-line handwritten mathematical expressions written by 58 writers, and the corresponding audio expressions (in French) spoken by 58 speakers. The ground truth is also provided both for the handwritten expressions (as INKML files with the digital ink, the symbol segmentation, and the MATHML structure) and for the audio expressions (as XML files with the transcriptions of the spoken expressions).
Year
DOI
Venue
2011
10.1109/ICDAR.2011.97
ICDAR-1
Keywords
Field
DocType
audio expression,mathematical expressions,audio dataset,on-line handwritten mathematical expression,mathematical expression corpus,handwritten expression,new public dataset,mathematical expression,corresponding audio expression,audio signal,on-line handwritten form,handwritten signal,internet,dataset,handwriting recognition,ink,xml,encyclopedias,audio signal processing,image segmentation,speech
Audio signal,Transcription (linguistics),InkML,Expression (mathematics),Computer science,Handwriting recognition,Image segmentation,Artificial intelligence,Natural language processing,Audio signal processing,MathML,Pattern recognition,Speech recognition
Conference
ISSN
ISBN
Citations 
1520-5363
978-0-7695-4520-2
10
PageRank 
References 
Authors
0.61
4
8