This release includes the annotated two-hours Egyptian dataset from the ADI-5 development split in the MGB-3 challenge [1]. The released MGB-3 data includes speech features and textual features extracted from ASR transcription.

Unlike MGB-3:EGY, this dataset is manually segmented to the audio into smaller utterances (with 500 msec silence or more) and transcribed the speech verbatim by a lay native Egyptian speaker.

The transcribed data is then annotated for word-level Code-Switching (CS) information by 3 annotators. Using the guideline mentioned in the paper, the annotators were asked to classify the words into one of the following four categories: (i) MSA: MSA word with MSA pronunciations; (ii) EGY: Egyptian word; (iii) MIX: MSA word with dialectal pronunciations and (iv) FRN: Foreign word, i.e., not Arabic. In addition, a 'NULL' tag was assigned in case the word is unintelligible or cannot be categorised to one of the four labels.

More details in paper:

@inproceedings{chowdhury2020cs,
  title={Effects of Dialectal Code-Switching on Speech Modules: A Study using Egyptian Arabic Broadcast Speech},
  author={Chowdhury, Shammur Absar  and Samih, Younes and Eldesouki, Mohamed and Ali, Ahmed},
  booktitle={INTERSPEECH},
  year={2020}
}

also available in Paper

DACS_word_level.feat The input file -- containing words and corresponding labels, are presented in DACS_word_level.feat. The file contains the following fields (space seperated), including #id word_index_in_sentence word word_start word_duration word_end label1 label2 label3

where #id is the corresponding wav id

word_index_in_sentence indicates the position of the word in the utterance.

word manually transcribed word (in Buckwalter transliteration format)

word_start start time of the word in secs.

word_duration duration of the word in secs.

word_end end time of the word in secs.

phone phone_conf phone_start phone_duration phone_end same info for phone (forced aligned)

label[1-3] annotation label provided by annotator [1-3]

segments_dacs The file include information of the manually segmented MGB-3:EGY to utterances. The file includes: segmented_id audio_id segment_start segment_end

where segmented_id is the wav id of the utterance

audio_id is the id of original audio file from MGB-3:EGY.

segment_start/end the start and the end time of the segmented utterances.

mgb3_audio_list.txt A list of audio files (MGB-3:EGY) used for this dataset. Can be directly downloaded given the url of the audio.

[1] Ali, Ahmed, Stephan Vogel, and Steve Renals. "Speech recognition challenge in the wild: Arabic MGB-3." 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). IEEE, 2017.