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Published in:
General Framework Read chapter Read first chapter

2011 | OriginalPaper | Chapter

2. Computer Assisted Transcription: General Framework

Authors : Dr. Alejandro Héctor Toselli, Dr. Enrique Vidal, Prof. Francisco Casacuberta

Published in: Multimodal Interactive Pattern Recognition and Applications

Publisher: Springer London

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Abstract

This chapter described the common basics on which are grounded the computer assisted transcription approaches described in the three subsequent chapters: Chaps. 3, 4 and 5. Besides, a general overview is provided of the common features characterizing the up-to-date systems we have employed for handwritten text and speech recognition.
Specific mathematical formulation and modeling adequate for interactive transcription of handwritten text images and speech signals are derived from a particular instantiation of the interactive–predictive general framework already introduced in Sect. 1.​3.​3. Moreover, on this ground and by adopting the passive left-to-right interaction protocol described in Sect. 1.​4.​2, the two basic computer assisted handwriting and speech transcription approaches were developed (detailed in Chaps. 3 and 4, respectively), along with the evaluation measures used to assess their performance.

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previous chapter General Framework
next chapter Computer Assisted Transcription of Text Images
Literature
1.
Barrachina, S., Bender, O., Casacuberta, F., Civera, J., Cubel, E., Khadivi, S., Ney, A. L. H., Tomás, J., & Vidal, E. (2009). Statistical approaches to computer-assisted translation. Computational Linguistics, 35(1), 3–28. MathSciNetCrossRef
2.
Jelinek, F. (1998). Statistical methods for speech recognition. Cambridge: MIT Press.
3.
Katz, S. M. (1987). Estimation of probabilities from sparse data for the language model component of a speech recognizer. I.E.E.E. Transactions on Acoustics, Speech, and Signal Processing, ASSP-35, 400–401. CrossRef
4.
Kneser, R., & Ney, H. (1995). Improved backing-off for n-gram language modeling. In Proceedings of the international conference on acoustics, speech and signal processing (ICASSP) (Vol. 1, pp. 181–184).
5.
Liu, P., & Soong, F. K. (2006). Word graph based speech recognition error correction by handwriting input. In Proceedings of the international conference on multimodal interfaces (ICMI’06) (pp. 339–346), New York, NY, USA. New York: ACM.
6.
Serrano, N., Sanchis, A., & Juan, A. (2010). Balancing error and supervision effort in interactive–predictive handwritten text recognition. In Proceedings of the international conference on intelligent user interfaces (IUI’10) (pp. 373–376), Hong Kong, China.
Metadata
Title
Computer Assisted Transcription: General Framework
Authors
Dr. Alejandro Héctor Toselli
Dr. Enrique Vidal
Prof. Francisco Casacuberta
Copyright Year
2011
Publisher
Springer London
Book
Multimodal Interactive Pattern Recognition and Applications

Print ISBN: 978-0-85729-478-4

Electronic ISBN: 978-0-85729-479-1

Copyright Year: 2011

DOI
https://doi.org/10.1007/978-0-85729-479-1_2