Abstract
In this paper we introduce an experiment leading to the improvement of the text post-processing phase of automatic transcription of spoken documents stored in the large Czech Radio audio archive of oral documents. This archive contains the largest collection of spoken documents recorded during the last 90 years. The underlying aim of the project introduced in the paper is to transcribe a part of the audio archive and store the transcription in the database, in which it will be possible to search for, and retrieve information. The value of the search is that one can find the information on the two linguistic levels: in the written form and the spoken form. This doubled information-storage is important especially for the comfortable retrieval of information and it diametrically extends the possibilities of work with the information. One of the important issues of the conversion of spoken speech to written texts is the automatic delimitation of speech units and sentences/clauses in the final text processing, which is connected with the punctuation important for convenient perception of the rewritten texts. For this reason we decided to test Czech native speakers’ perception of speech and their need of punctuation in the rewritten texts. We compared their results with the punctuation added by an automaton. The results should serve to train a program for automatic discretion of speech units and the correct supplying of punctuation. For the experiment we prepared a sample of texts spoken by typologically various speakers (the amount of speech was 30, minutes; 5,247 words), these automatically rewritten texts were given to 59 respondents whose task was to supply punctuation to the automatically rewritten texts. We used two special tools to run this experiment; NanoTrans – this tool was used by respondents for supplying the punctuation. The other tool for viewing and comparing the respondents’ and machine performance, especially written for the probe, was Transcription Viewer. In the text we give detailed information about these comparisons. In the final part of the paper we propose further improvements and ideas for future research.
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Škodová, S., Kuchařová, M., Šeps, L. (2012). Discretion of Speech Units for the Text Post-processing Phase of Automatic Transcription (in the Czech Language). In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2012. Lecture Notes in Computer Science(), vol 7499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32790-2_54
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DOI: https://doi.org/10.1007/978-3-642-32790-2_54
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