Iraqi Arabic Conversational Telephone Speech
|Item Name:||Iraqi Arabic Conversational Telephone Speech|
|Author(s):||Appen Pty Ltd, Sydney, Australia|
|LDC Catalog No.:||LDC2006S45|
|Release Date:||November 17, 2006|
|Data Source(s):||telephone conversations|
|Application(s):||speaker identification, speech recognition, spoken dialogue modeling, spoken dialogue systems|
|Language(s):||North Mesopotamian Arabic, Mesopotamian Arabic|
|Language ID(s):||ayp, acm|
LDC User Agreement for Non-Members
|Online Documentation:||LDC2006S45 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Appen Pty Ltd, Sydney, and Australia. Iraqi Arabic Conversational Telephone Speech LDC2006S45. Web Download. Philadelphia: Linguistic Data Consortium, 2006.|
Iraqi Arabic Conversational Telephone Speech was developed by Appen Pty Ltd, Sydney, Australia and contains roughly 3000 mins of speech from Iraqi Arabic speakers taking part in spontaneous telephone conversations in Colloquial Iraqi Arabic.
This corpus was collected in 2003 and 2004 by Appen Pty Ltd, Sydney, Australia. The transcripts for these calls can be found in Iraqi Arabic Conversational Telephone Speech, Transcripts (LDC2006T16).
A total of 478 conversation sides from 474 unique speakers are provided, and most of these call sides comprise both sides of a conversation (that is, 202 two-channel recordings plus 74 single-channel recordings). The average duration per call is about six minutes, so each call side contains about three minutes of speech, on average.
The audio directory contains three subdirectories:
devtest -- 12 two-channel audio files
train1c -- 74 single-channel audio files
train2c -- 190 two-channel audio files
The single-channel files represent just one side of a normal conversation. The "devtest" set represents a relatively balanced (representative) sample drawn from the total pool of collected calls, based on a test-set selection process applied by the National Institute of Standards and Technology (NIST) and based on demographic, phone and audit information as provided by Appen.
All audio files are 8 kHz, 8-bit, a-law encoding, and have a NIST SPHERE formatted header.
For an example of the speech contained in this corpus, please listen to this sample audio file in wav format.
None at this time.