tailieunhanh - Báo cáo khoa học: "Automatic Editing in a Back-End Speech-to-Text System"

Written documents created through dictation differ significantly from a true verbatim transcript of the recorded speech. This poses an obstacle in automatic dictation systems as speech recognition output needs to undergo a fair amount of editing in order to turn it into a document that complies with the customary standards. We present an approach that attempts to perform this edit from recognized words to final document automatically by learning the appropriate transformations from example documents. . | Automatic Editing in a Back-End Speech-to-Text System Maximilian Bisani Paul Vozila Olivier Divay Jeff Adams Nuance Communications One Wayside Road Burlington MA 01803 . @ Abstract Written documents created through dictation differ significantly from a true verbatim transcript of the recorded speech. This poses an obstacle in automatic dictation systems as speech recognition output needs to undergo a fair amount of editing in order to turn it into a document that complies with the customary standards. We present an approach that attempts to perform this edit from recognized words to final document automatically by learning the appropriate transformations from example documents. This addresses a number of problems in an integrated way which have so far been studied independently in particular automatic punctuation text segmentation error correction and disfluency repair. We study two different learning methods one based on rule induction and one based on a probabilistic sequence model. Quantitative evaluation shows that the probabilistic method performs more accurately. 1 Introduction Large vocabulary speech recognition today achieves a level of accuracy that makes it useful in the production of written documents. Especially in the medical and legal domains large volumes of text are traditionally produced by means of dictation. Here document creation is typically a back-end process. The author dictates all necessary information into a telephone handset or a portable recording device and is not concerned with the actual production of the document any further. A transcriptionist will then listen to the recorded dictation and produce a well-formed document using a word processor. The goal of introducing speech recognition in this process is to create a draft document automatically so that the transcriptionist only has to verify the accuracy of the document and to fix occasional recognition errors. We

• Báo cáo khoa học
• Automatic Editing
• Back End Speech to Text System
• Maximilian Bisani Paul Vozila Olivier Divay Nuance
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
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• Natural Language Processing
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• Mô hình ngôn ngữ Google Book N grams
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• Phương pháp làm mịn
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