MODALITY corpus - SPEAKER 35 - COMMANDS C3 - Open Research Data - Bridge of Knowledge

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MODALITY corpus - SPEAKER 35 - COMMANDS C3

Description

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).

The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.

The dataset consist of recordings and visual features for SPEAKER 35:

  • sex: woman
  • native speaker: yes
  • age: 43

The test material: COMMANDS C3

All recordings for all speakers are available at http://www.modality-corpus.org/

Illustration of the publication

Sample still from the corpus
(SPEAKER 35)

Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.

The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).

The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.
Word-accurate SNR values calculated for every recording are also included in the ZIP file.

Dataset file

SP35_COMMANDS3.ZIP
5.8 GB, S3 ETag 22102e9233195e4efc7ea712c3c427b9-12, downloads: 3
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file SP35_COMMANDS3.ZIP

File details

License:
Custom
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Details

Year of publication:
2016
Verification date:
2021-07-13
Dataset language:
English
Fields of science:
  • Information and communication technology (Engineering and Technology)
  • Linguistics (Humanities)
DOI:
DOI ID 10.34808/gwrz-t064 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

References

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