- Matthias Sperber, Graham Neubig, Satoshi Nakamura, A. Waibel. 2014. SESLA TRANSCRIBER: A SPEECH TRANSCRIPTION TOOL THAT ADAPTS TO YOUR SKILL AND TIME BUDGET. Abstract: We present a speech transcription tool targeted at situations in which cost is a critical or limiting factor. This tool actively guides the transcription process by taking an automatically created transcript as a starting point, and asking for correction of only the parts likely to contain errors. The transcriber speciﬁes a time budget, and the software uses models of transcription accuracy and cost to choose which segments should be transcribed to achieve the highest error reduction. This approach has been found to be 25% more efﬁcient than cost-insensitive approaches in previous work. The cost model is adapted to the transcriber on-the-ﬂy during the transcription process, so no user enrollment is necessary. The segmentation is updated regularly to reﬂect improved cost models, and to recover from potential time prediction errors. The user interface was designed to be easy to learn and efﬁcient to use. It allows either transcribing each segment from scratch or post-editing, and has logging features that allow detailed user studies.
