Development of an ASR System for Medical Conversations

被引：0

作者：

Renato, Alejandro ^{[1
]}

Luna, Daniel ^{[1
]}

Benitez, Sonia ^{[1
]}

机构：

[1] Hosp Italiano Buenos Aires, Dept Helth Informat, Buenos Aires, DF, Argentina

来源：

MEDINFO 2023 - THE FUTURE IS ACCESSIBLE | 2024年 / 310卷

关键词：

Automatic speech recognition; artificial intelligence; human-computer interaction; natural language processing; telemedicine; SPEECH;

D O I：

10.3233/SHTI231048

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work we document the development of an ASR system for the transcription of conversations between patient and doctor and we will point out the critical aspects of the domain. The system was trained with an acoustic base of spontaneous speech that has a domain language model and a supervised phonetic dictionary. Its performance was compared with two systems: a) NeMo End-to-End Conformers in Spanish and b) Google API ASR(2) Cloud. The evaluation was carried out on a set of 208 teleconsultations recorded during the year 2020. The WER (Word Error Rate) was evaluated in ASR, and Recall and F1 for recognized medical entities. In conclusion, the developed system performed better, reaching 72.5% accuracy in the domain of teleconsultations and an F1 for entity recognition of 0.80.

引用

页码：664 / 668

页数：5

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