Apple Words and Phrases Corpus Release 1.3 Center for Spoken Language Understanding UPDATED: 23 August 2002 Use of this corpus is permitted only under the conditions of the signed license agreement. Use or redistribution of this corpus outside the agreement is prohibited by law. Overview -------- The Apple Words and Phrases corpus was developed with support from Apple Computer, Inc., which also supplied the list of words and phrases to be collected. This telephone speech corpus contains about 69.5 hours of speech. 998 calls were collected on an analog system and 2010 calls were collected on a digital system. Each caller repeated a list of phrases as they were prompted. The phrases were command and control type phrases, eg "help". Distribution Directory Structure -------------------------------- This is the distribution for Release 1.3 of the Apple Words and Phrases corpus. This corpus is distributed by the Center for Spoken Language Understanding of the Oregon Graduate Institute. Following is a description of the Directory structure in this release: readme.txt General information regarding the corpus. docs/ The documentation directory. This directory contains further documentation for the Apple Words and Phrases Corpus. labels/ Phonetic labeling directory. This directory contains time aligned phoneme-level transcriptions (automatic forced alignment). misc/ Miscellaneous directory, possibly containing software tools and scripts. speech/ The speech directory contains the actual .wav files. There are many subdirectories within the speech directory. trans/ The transcriptions directory. This directory contains transcriptions of all calls. This corpus requires approximately 4.6GB of disk space. Please see the /docs directory for further documentation. Contact Information ------------------- Further information about this corpus can be found our web site: . Refer specific questions to: - Center for Spoken Language Understanding - Oregon Health & Science University - email : corpora@cslu.ogi.edu - Address : 20000 NW Walker Road Beaverton, OR 97006 USA Constructive feedback about this corpus is appreciated.