Publication Date
2024
Subject
Computational linguistics. Speech > Data processing. Automatic speech recognition.
Type
Other
Language
ara,eng,fas,pus,urd
Digital
Yes
Manuscript
No
Physical Dimensions
1 online resource
Library
Yale University
Record ID
99171457673408651
Date
2024
Notes
Authors: Mourad Belhadj, Ilham Bendellali, Elalia Lakhdari. Data source: telephone conversations. Data type: sound, text. Applications: speech activity detection. LDC number: LDC2024S03. Data: All audio files are presented as single-channel, 16-bit PCM, 16000 samples per second; lossless FLAC compression is used on all files. When uncompressed, the files have "MS-WAV" (RIFF) file headers. Audio in English, Persian, Pushto, Urdu and Levantine Arabic Title from resource home page (LDC website, viewed April 30, 2024).
Sample Text
"RATS Low Speech Density (LDC2024S03) was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 87 hours of Levantine Arabic, Farsi, Pashto and Urdu speech and non-speech samples. The recordings were assembled by concatenating a randomized selection of speech, communications systems sounds, and silence. This corpus was created to measure false alarm performance in RATS speech activity detection systems."--LDC online catalog.
Kataloğa Eklendi
April 30, 2024
Diğer Sorumlular
Belhadj, Mourad, creator Linguistic Data Consortium, issuing body
İçindekiler
data file (contains the audio files) docs file (contains additional documentation, metadata, and a file table).
Yerel Notlar
Access is available to the Yale community.
Varyant ve İlgili Başlıklar
Robust Automatic Transcription of Speech low speech density Low speech density
