The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR

Ramon Sanabria, Nikolay Bogoychev, Nina Markl, Andrea Carmantini, Ondrej Klejch, Peter Bell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many varieties of English. Although the great many advances in English automatic speech recognition (ASR) over the past decades, results are usually reported based on test datasets which fail to represent the diversity of English as spoken today around the globe. We present the first release of The Edinburgh International Accents of English Corpus (EdAcc). This dataset attempts to better represent the wide diversity of English, encompassing almost 40 hours of dyadic video call conversations between friends. Unlike other datasets, EdAcc includes a wide range of first and second-language varieties of English and a linguistic background profile of each speaker. Results on latest public, and commercial models show that EdAcc highlights shortcomings of current English ASR models. The best performing model, trained on 680 thousand hours of transcribed data, obtains an average of 19.7% word error rate (WER) – in contrast to the 2.7% WER obtained when evaluated on US English clean read speech. Across all models, we observe a drop in performance on Indian, Jamaican, and Nigerian English speakers. Recordings, linguistic backgrounds, data statement, and evaluation scripts are released on our website under CC-BY-SA 1 license. 2 We hope that this work will encourage future research on a wider range of English varieties to create more accessible speech technologies.
Original languageEnglish
Title of host publicationICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)9781728163277
ISBN (Print)9781728163284
DOIs
Publication statusPublished - 5 May 2023
Event2023 IEEE International Conference on Acoustics, Speech and Signal Processing - Rhodes Island, Greece
Duration: 4 Jun 202310 Jun 2023
https://2023.ieeeicassp.org/

Conference

Conference2023 IEEE International Conference on Acoustics, Speech and Signal Processing
Abbreviated titleICASSP
Country/TerritoryGreece
CityRhodes Island
Period4/06/2310/06/23
Internet address

Fingerprint

Dive into the research topics of 'The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR'. Together they form a unique fingerprint.

Cite this