Multi-Language Conversational Telephone Speech 2011 -- South Asian

Item Name: Multi-Language Conversational Telephone Speech 2011 -- South Asian
Author(s): Karen Jones, David Graff, Kevin Walker, Stephanie Strassel
LDC Catalog No.: LDC2017S14
ISBN: 1-58563-808-0
ISLRN: 809-338-263-232-7
Release Date: August 15, 2017
Member Year(s): 2017
DCMI Type(s): Sound
Sample Type: pcm
Sample Rate: 8000
Data Source(s): telephone conversations
Project(s): NIST LRE
Application(s): language identification
Language(s): Bengali, Hindi, Western Panjabi, Tamil, Urdu
Language ID(s): ben, hin, pnb, tam, urd
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2017S14 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Jones, Karen, et al. Multi-Language Conversational Telephone Speech 2011 -- South Asian LDC2017S14. Web Download. Philadelphia: Linguistic Data Consortium, 2017.

Introduction

Multi-Language Conversational Telephone Speech 2011 -- South Asian was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 118 hours of telephone speech in five distinct language varieties of South Asia (i.e. the Indian sub-continent): Bengali, Hindi, Punjabi, Tamil and Urdu.

The data were collected primarily to support research and technology evaluation in automatic language identification, and portions of these telephone calls were used in the NIST 2011 Language Recognition Evaluation (LRE). LRE 2011 focused on language pair discrimination for 24 languages/dialects, some of which could be considered mutually intelligible or closely related.

LDC has also released the following as part of the Multi-Language Conversation Telephone Speech 2011 series:

Data

Participants were recruited by native speakers who contacted acquaintances in their social network. Those native speakers made one call, up to 15 minutes, to each acquaintance. The data was collected using LDC's telephone collection infrastructure, comprised of three computer telephony systems. Human auditors labeled calls for callee gender, dialect type and noise. Demographic information about the participants was not collected.

All audio data are presented in FLAC-compressed MS-WAV (RIFF) file format (*.flac); when uncompressed, each file is 2 channels, recorded at 8000 samples/second with samples stored as 16-bit signed integers, representing a lossless conversion from the original mu-law sample data as captured digitally from the public telephone network. The following table summarizes the total number of calls, total number of hours of recorded audio, and the total size of compressed data:

group lng #calls #hours #MB
s_asian ben 118 26.6 1374
s_asian hin 37 7.4 383
s_asian pnb 207 38.8 1921
s_asian tam 101 22.9 1140
s_asian urd 116 22.9 1140
s_asian Totals 579 118.3 5913

Samples

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Updates

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