This contribution demonstrates a semi-automatic method to enhance transcription quality in spontaneous speech, indicating significant time savings.
Manual orthographic transcription of spontaneous speech is notoriously time consuming, and segmentation at the level of the syllable requires further large amounts of processing time. Automatic orthographic transcription and automatic syllable segmentation, on the other hand, usually yield unsatisfactory precision, especially when applied to spontaneous speech. In this contribution, we report on a semi-automatic workflow that uses freely available software and combines the speed of automatic processing with the quality of manual transcription and segmentation. We apply the procedure to highly spontaneous speech and show (i) no loss of quality compared with manual output and (ii) an average 75% reduction of manual processing time.
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Cangemi et al. (2020) studied this question.
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