Title | ||
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Are You Dictating to Me? Detecting Embedded Dictations in Doctor-Patient Conversations |
Abstract | ||
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Medical scribes chart doctor-patient conversations in real time or by listening to an audio recording afterwards. Doctors sometimes dictate during a patient encounter, a highly informative part for a scribe. We introduced a light-weight annotation schema and ana-lyzed recordings of 105 randomly selected doctor-patient encounters from 21 physicians to quantify the frequency and automatically de-tect dictated regions. Dictation behavior of individual doctors was consistent but varied among them. A linguistic analysis is provided to describe differences of doctors speech when talking to a patient or dictating. A description of the data is given, highlighting challenges of segmenting audio into conversation and dictation regions. We in-vestigate different features and methods to segment conversations including keyword spotting, acoustic features and class-conditioned language models. Results are anchored to a majority class base-line. Using only acoustic features allows to predict dictated speech without the need of a speech recognition system performing com-parable to a rule-based approach using lexical features derived from a speech recognition system. Performance is assessed using leave-one-physician-out cross validation and an analysis using a random forest classifier indicates that language model derived features are most useful, and that a combination of acoustic and lexical features performed best. |
Year | DOI | Venue |
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2021 | 10.1109/ASRU51503.2021.9688118 | 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) |
Keywords | DocType | ISBN |
doctor-patient conversation,speech recognition,dictation detection,speaking style | Conference | 978-1-6654-3740-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thomas Schaaf | 1 | 0 | 0.34 |
Longxiang Zhang | 2 | 0 | 0.34 |
Alireza Bayestehtashk | 3 | 0 | 0.34 |
Mark C. Fuhs | 4 | 0 | 0.34 |
Shahid Durrani | 5 | 0 | 0.34 |
Susanne Burger | 6 | 0 | 0.34 |
Monika Woszczyna | 7 | 0 | 0.34 |
Thomas Polzin | 8 | 0 | 0.34 |