American English Spoken Lexicon

Item Name: American English Spoken Lexicon
Author(s): Amanda Hallie Seidl-Friedman, Masato Kobayashi, Christopher Cieri
LDC Catalog No.: LDC99L23
ISBN: 1-58563-156-6
ISLRN: 238-033-984-489-7
DOI: https://doi.org/10.35111/fe0b-zt47
Member Year(s): 1999
DCMI Type(s): Text
Data Source(s): microphone speech
Project(s): GALE, EARS
Application(s): speech recognition
Language(s): English
Language ID(s): eng
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC99L23 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Seidl-Friedman, Amanda Hallie, Masato Kobayashi, and Christopher Cieri. American English Spoken Lexicon LDC99L23. Web Download. Philadelphia: Linguistic Data Consortium, 1999.
Related Works: View

Introduction

This lexicon contains pronunciations captured in individual audio files for 53,602 of the most common words in English.

Data

50,892 words were chosen from LDC's CALLHOME American English Lexicon on the basis of their frequency in the data that were used in creating the 1994 CSR Language Model Text Corpus ("CSR-III Text Corpus," LDC95T6). The sources for the language model include Wall Street Journal (1987-1994), Associated Press (1989-1991), and San Jose Mercury News (1991); all taken from the three CD-ROM volumes of TIPSTER (LDC93T3A). To extend the coverage of common words that happen not to occur in the LDC corpora sampled, an additional 2,922 words (ie. compounds, companies, places, languages, and numerals) were added from other sources.

Each word was read by the speaker in a quiet recording studio, using a Sennheiser HMD 410 microphone and a Sony DAT recorder. The recordings were downsampled to 16KHz for storage on disk with the individual lexical utterances segmented into separate waveform files, with a consistent margin of silence on both sides of each word.

The CD-ROMs were created using the ISO-9660 Level 2 data format, along with Rock Ridge extensions. All common computer operating systems should be able to read the full-length file names. The corpus has since been converted to a web downloaded file.

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