Handwritten Text Recognition is a problem that has gained attention in the last years due to the interest in the transcription of historical documents. Handwritten Text Recognition employs models that are similar to those employed in Automatic Speech Recognition (Hidden Markov Models and n-grams). Dictation of the contents of the document is an alternative to text recognition. In this work, we ...

The purpose of this report is to describe the author's experience using computerized dictation during routine outpatient medical practice. During a six-month period, patients seen by the author in the Pediatric Gastroenterology Clinic at the University of Virginia were assigned to human or computer-based transcription. Of 1,129 notes, 580 were completed by a transcriptionist and 549 by computer...

This paper is concerned with the problem of machine aided human language translation. It addresses a translation scenario where a human translator dictates the spoken language translation of a source language text into an automatic speech dictation system. The source language text in this scenario is also presented to a statistical machine translation system (SMT). The techniques presented in t...

A major axis of research at LIMSI is directed at multilingual, speaker-independent, large vocabulary speech dictation. In this paper the LIMSI recognizer which was evaluated in the ARPA NOV93 CSR test is described, and experimental results on the WSJ and BREF corpora under closely matched conditions are reported. For both corpora word recognition expenrnents were carried out with vocabularies c...

In this work, we present a model combination approach at the word level that aims to improve the modeling of spontaneous speech variabilities on a highly spontaneous, real life medical transcription task. The technique (1) separates speech variabilities into pre-defined classes, (2) generates speech variability specific acoustic and pronunciation models and (3) properly combines these models la...

This paper gives an overviewof the Philips Research system for continuousspeech recognition. The recognition architecture is based on an integrated statistical approach. The system has been successfully applied to various tasks in American English and German, ranging from small vocabulary tasks to very large vocabulary tasks and from recognition only to speech understanding. Here, we concentrat...

OBJECTIVE Evaluate the effect of a radiology speech recognition system on a real-time computerized guideline in the emergency department. METHODS We collected all chest x-ray reports (n = 727) generated for patients in the emergency department during a six-week period. We divided the concurrently generated reports into those generated with speech recognition and those generated by traditional...