{"dataset":{"name":"On-device speech recognition across English accents (EdAcc conversations)","title":"Speech Recognition and Accents: 13 English Accents Tested","question":"How much does a speaker's accent change how accurately speech recognition writes down their English?","url":"https://yapapp.cc/data/asr-accent-robustness","measure":{"label":"Word error rate","unit":"percent","short":"%","decimals":2,"lowerIsBetter":true},"dimensions":[{"key":"engine","label":"Engine","values":["Parakeet TDT v3","Whisper large-v3-turbo","Apple SpeechTranscriber"]},{"key":"maker","label":"Maker"},{"key":"accent","label":"Accent group","values":["Mainstream US English","Southern British English","Scottish English","Irish English","Indian English","Nigerian English","Kenyan English","Jamaican English","Spanish speakers","Latin American Spanish speakers","Chinese speakers","Vietnamese speakers","Lithuanian speakers","All 13 groups"]},{"key":"group","label":"Kind of accent","values":["Variety of English","First language other than English","All"]},{"key":"speakers","label":"Speakers"},{"key":"recordings","label":"Utterances"}],"include":"Each engine on the same utterances of the EdAcc test set (English conversations over video calls between speakers of many accents, University of Edinburgh, 2023), chosen by a fixed rule before any engine ran: at least five words, 1.5 to 30 seconds, no overlapping speech, up to 100 per accent group spread across its speakers, for every accent group with at least two speakers; segments EdAcc itself marks as not to be scored are left out.","exclude":"Accent groups with a single speaker in the EdAcc test set (Ghanaian English, Israeli, Indonesian, Italian, Romanian, French, Catalan and others), utterances shorter than five words, and cloud services.","method":"The selection rule, every file's checksum, every reference sentence and every transcript are in the full record. Word error rate is the edit distance between the reference words and the engine's words, summed over a group and divided by its reference words, after lowercasing and dropping punctuation; hesitation fillers (um, uh, erm, hmm, mm, mhm, mmm) are left out of both texts and ok counts as okay, for every engine alike. Parakeet and Whisper ran with the language set to English, Apple's model with the en-US locale, all on the same Mac with nothing sent over the network.","limitations":"Two to nine speakers stand for each accent group, so one speaker's voice, microphone and topic weigh heavily: the comparison of engines within a group is firmer than the comparison of groups. Conversation over video calls is harder than dictation into a good microphone, so every error rate here runs higher than in our read-speech benchmark. Numbers spoken as words in the reference count as errors when an engine writes digits.","sources":0,"updated":"2026-10-21","license":"https://creativecommons.org/licenses/by/4.0/","credit":"Yap (2026). On-device speech recognition across English accents (EdAcc conversations) [Data set]. https://yapapp.cc/data/asr-accent-robustness"},"rows":[{"row":"Parakeet TDT v3, Mainstream US English","value":12.32,"low":null,"high":null,"as_written":"12.32","unit":"percent","engine":"Parakeet TDT v3","maker":"NVIDIA","accent":"Mainstream US English","group":"Variety of English","speakers":9,"recordings":97,"conversion":null,"claim":"In our October 2026 test on a Mac with an M2 Pro, Parakeet TDT 0.6B v3 had a word error rate of 12.32 percent on 97 conversational utterances by speakers of Mainstream US English (9 speakers) from the EdAcc corpus.","quote":null,"where_in_source":null,"fact_url":"https://yapapp.cc/facts/m-edacc-2026-10-parakeet-mainstream-us-english-wer","source_title":null,"source_publisher":null,"source_year":null,"source_url":null,"source_doi":null,"checked":"2026-10-21"},{"row":"Apple SpeechTranscriber, Mainstream US 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