CSLU: Foreign Accented English Release 1.2

Item Name: CSLU: Foreign Accented English Release 1.2
Author(s): T Lander
LDC Catalog No.: LDC2007S08
ISBN: 1-58563-392-5
ISLRN: 108-265-441-199-4
Release Date: May 17, 2007
Member Year(s): 2007
DCMI Type(s): Sound
Sample Type: ulaw
Sample Rate: 8000
Data Source(s): telephone speech
Application(s): speech recognition
Language(s): English
Language ID(s): eng
License(s): CSLU Agreement
Online Documentation: LDC2007S08 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Lander, T. CSLU: Foreign Accented English Release 1.2 LDC2007S08. Web Download. Philadelphia: Linguistic Data Consortium, 2007.

Introduction

This file contains documentation on CSLU: Foreign Accented English Release 1.2, Linguistic Data Consortium (LDC) catalog number LDC2006S38 and isbn 1-58563-392-5.

CSLU: Foreign Accented English Release 1.2 consists of continuous speech in English by native speakers of 22 different languages: Arabic, Cantonese, Czech, Farsi, French, German, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Mandarin Chinese, Malay, Polish, Portuguese (Brazilian and Iberian), Russian, Swedish, Spanish, Swahili, Tamil and Vietnamese. The corpus contains 4925 telephone-quality utterances, information about the speakers' linguistic backgrounds and perceptual judgments about the accents in the utterances. The speakers were asked to speak about themselves in English for 20 seconds. Three native speakers of American English independently listened to each utterance and judged the speakers' accents on a 4-point scale: negligible/no accent, mild accent, strong accent and very strong accent. This corpus is intended to support the study of the underlying characteristics of foreign accent and to enable research, development and evaluation of algorithms for the identification and understanding of accented speech. Some of the files in this corpus are also contained in CSLU: 22 Languages Corpus, LDC2005S26.

Samples

For an example of the data in this corpus, please listen to this audio sample.

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