Abstract
Speech recognition systems have proved their usefulness in very different tasks. Nevertheless, the present state-of-the-art of the speech technologies does not make it possible to achieve perfect transcriptions in most of the cases. Owing to this fact, human intervention is necessary to check and correct the results of such systems. We present a novel approach that faces this problem by combining the efficiency of the automatic speech recognition systems with the accuracy of the human transcriptor. The result of this process is a cost-effective perfect transcription of the input signal.
This work has been partially supported by the Spanish project iDoc TIN2006-15694-C02-01.
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Rodríguez, L., Casacuberta, F., Vidal, E. (2007). Computer Assisted Transcription of Speech. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72847-4_32
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DOI: https://doi.org/10.1007/978-3-540-72847-4_32
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