VietMed

VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain

Dataset Information
Modalities
Texts, Audio, Medical, Speech
Languages
Vietnamese
Introduced
2024
License
Unknown
Homepage

Overview

We introduced a Vietnamese speech recognition dataset in the medical domain comprising 16h of labeled medical speech, 1000h of unlabeled medical speech and 1200h of unlabeled general-domain speech. To our best knowledge, VietMed is by far the world’s largest public medical speech recognition dataset in 7 aspects: total duration, number of speakers, diseases, recording conditions, speaker roles, unique medical terms and accents. VietMed is also by far the largest public Vietnamese speech dataset in terms of total duration. Additionally, we are the first to present a medical ASR dataset covering all ICD-10 disease groups and all accents within a country.

Variants: VietMed

Associated Benchmarks

This dataset is used in 2 benchmarks:

Recent Benchmark Submissions

Task Model Paper Date
Speech Recognition XLSR-53-Viet VietMed: A Dataset and Benchmark … 2024-04-08
Speech Recognition XLSR-53 VietMed: A Dataset and Benchmark … 2024-04-08
Speech Recognition w2v2-Viet VietMed: A Dataset and Benchmark … 2024-04-08
Speech Recognition GMM-HMM SAT+VTLN VietMed: A Dataset and Benchmark … 2024-04-08
Speech Recognition GMM-HMM SAT VietMed: A Dataset and Benchmark … 2024-04-08
Speech Recognition GMM-HMM Tri VietMed: A Dataset and Benchmark … 2024-04-08
Speech Recognition GMM-HMM VTLN VietMed: A Dataset and Benchmark … 2024-04-08
Speech Recognition GMM-HMM Mono VietMed: A Dataset and Benchmark … 2024-04-08
Language Modelling Hybrid 4-gram VietMed-Train + ExtraText VietMed: A Dataset and Benchmark … 2024-04-08
Language Modelling Hybrid 4-gram VietMed-Train VietMed: A Dataset and Benchmark … 2024-04-08

Research Papers

Recent papers with results on this dataset: