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Audio
Text
Languages:
Estonian
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Estonian Foreign Accent Corpus (EFAC)

The Estonian Foreign Accent Corpus (EFAC) is a speech corpus of Estonian read and spontaneous speech produced by native and non-native speakers. The corpus was initiated in 2006 to support experimental phonetic studies of foreign accent, non-native Estonian pronunciation, and language-technology development.

The corpus includes speakers from 18 first-language backgrounds, including a native Estonian reference group. The prompt set includes 130 neutral Estonian sentences covering major Estonian phonological oppositions, 8 questions, 2 passages, and prompts for spontaneous speech such as self-introduction and picture description.

Dataset structure

Audio files are organized by first-language code and speaker:

<L1>/<speaker>/<utterance>.wav

This directory also contains generated metadata files:

  • metadata.csv: utterance-level metadata, including transcripts.
  • speaker_metadata.csv: speaker-level questionnaire metadata

The utterance-level metadata.csv columns are:

  • file_name: relative path to the WAV file.
  • ID: utterance identifier.
  • L1: speaker first language as ISO 639-3 code.
  • speaker: speaker identifier prefixed with ISO 639-3 L1 code.
  • gender: speaker gender.
  • proficiency: self-assessed Estonian proficiency, with native Estonian speakers marked as native.
  • text: normalized transcript text.

Statistics

Statistics below are computed from the current metadata.csv and speaker_metadata.csv files.

Measure Value
Utterances with metadata and transcripts 31,835
Speakers 206
First-language backgrounds 18
Total audio duration 43.49 hours
Average utterance duration 4.92 seconds
Transcript tokens, whitespace-counted 199,278

Utterances by first language

L1 Utterances Speakers
aze 157 1
dan 311 2
deu 2,720 17
eng 899 5
est 3,116 21
fin 4,548 30
fra 2,006 13
hin 551 3
ita 882 6
jpn 1,020 7
lav 2,927 21
lit 1,709 12
nld 314 2
pol 343 2
rus 8,237 50
slk 291 2
spa 808 5
swe 996 7

Utterances by speaker metadata

Gender Utterances
Female 19,154
Male 12,681
Proficiency Utterances
elementary 5,309
intermediate 11,267
advanced 8,811
proficient 3,332
native 3,116

Reference

For a description of the corpus and examples of EFAC-based research, see:

Lya Meister and Einar Meister. "Foreign Accent Corpus and studies of non-native speech." Keel ja Kirjandus. DOI: 10.54013/kk658a10.

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