MODALITY corpus - SPEAKER 32 - SEQUENCE S2

Opis

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 32:

sex: woman
native speaker: yes
age: 44

The test material: SEQUENCE S2

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

Sample still from the corpus
(SPEAKER 32)

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.

Plik z danymi badawczymi

SP32_SEQUENCE2.ZIP

3.6 GB, S3 ETag 7ef3bc44df04b2b72acc05512dbb066c-8, pobrań: 63

Hash pliku liczony jest ze wzoru
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} gdzie pojedyncza część pliku jest wielkości 512 MB

Przykładowy skrypt do wyliczenia:
https://github.com/antespi/s3md5

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Informacje szczegółowe

Rok publikacji:

2016

Data zatwierdzenia:

2021-07-20

Język danych badawczych:

angielski

Dyscypliny:

informatyka techniczna i telekomunikacja (Dziedzina nauk inżynieryjno-technicznych)
językoznawstwo (Dziedzina nauk humanistycznych)

DOI:

10.34808/01pc-as35

Seria:

MODALITY corpus

Weryfikacja:

Politechnika Gdańska

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