tailieunhanh - Báo cáo khoa học: "A Computer Assisted Speech Transcription System"

Current automatic speech transcription systems can achieve a high accuracy although they still make mistakes. In some scenarios, high quality transcriptions are needed and, therefore, fully automatic systems are not suitable for them. These high accuracy tasks require a human transcriber. However, we consider that automatic techniques could improve the transcriber’s efficiency. With this idea we present an interactive speech recognition system integrated with a word processor in order to assists users when transcribing speech. This system automatically recognizes speech while allowing the user to interactively modify the transcription. . | A Computer Assisted Speech Transcription System Alejandro Revuelta-Martinez Luis Rodríguez Ismael Garcia-Varea Computer Systems Department University of Castilla-La Mancha Albacete Spain @ Abstract Current automatic speech transcription systems can achieve a high accuracy although they still make mistakes. In some scenarios high quality transcriptions are needed and therefore fully automatic systems are not suitable for them. These high accuracy tasks require a human transcriber. However we consider that automatic techniques could improve the transcriber s efficiency. With this idea we present an interactive speech recognition system integrated with a word processor in order to assists users when transcribing speech. This system automatically recognizes speech while allowing the user to interactively modify the transcription. 1 Introduction Speech has been the main mean of communication for thousands of years and hence is the most natural human interaction mode. For this reason Automatic Speech Recognition ASR has been one of the major research interests within the Natural Language Processing NLP community. Although current speech recognition approaches which are based on statistical learning theory Jelinek 1998 are speaker independent and achieve high accuracy ASR systems are not perfect and transcription errors rise drastically when considering large vocabularies dealing with noise environments or spontaneous speech. In those tasks as for example automatic transcription of parliaments proceedings where perfect recognition results are required ASR can not be fully reliable so far and a human transcriber has to check and supervise the automatically generated transcriptions. In the last years cooperative systems where a human user and an automatic system work together have gain growing attention. Here we present a system that interactively assists a human transcriber when using an ASR software. The proposed tool is