ALOFON corpus - Open Research Data - MOST Wiedzy


ALOFON corpus


The ALOFON corpus is one of the multimodal database of word recordings in English, available at  The ALOFON corpus is oriented towards the recording of the speech equivalence variants. For this purpose, a total of 7 people who are or speak English with native speaker fluency and a variety of Standard Southern British English were recorded in various variants resulting from the speaker's country of origin.

Each speaker has uttered 300 words or short phrases specially selected by the cooperating phonologist to include appropriate phonetic variants. The created list, used for recordings, contains 300 items, which are a collection of English vowels and consonants, which are distributed in representative consonant contexts. The material has been divided into 10 sections of 30 phrases each, which were then spoken by the speakers. Therefore, there are 10 recording sessions for each speaker.

The ALOFON corpuse contains more than 140 audio files (48 kHz/16 bit sampling) with a total duration of more than 3.5 hours and more than 240 video recordings (Vicon system reference camera, 120 frames per second, 720p resolution and RGB camera, 50 frames per second, resolution 1080p), with a total duration of more than 7 hours and 140 files with Facial Motion Capture recordings made using the Vicon motion capture system (special reflective markers were carefully applied to faces, especially the mouth of the speakers).

The ALOFON database is currently the only body that emphasizes an allophonic approach to speech analysis representing three modalities, including unique recordings from the multi-camera motion capture system (FMC- Facial Motion Capture).

Recording setup

Sample stills (RGB camera) from the corpus

Dataset file

3.6GB, MD5 2e33f298a55bf1e7802fae718409a004-8, downloads: 1


Year of publication:
Creation date:
Dataset language:
Fields of science:
  • Information and communication technology (Engineering and Technology)
  • Linguistics (Humanities)
10.34808/7v2c-2y58 open in new tab
Verified by:
Gdańsk University of Technology



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