https://github.com/johannesbuchner/spoken-command-recognition

A large, free audio sample database (10M words pronounced), a test bed for voice activity detection algorithms and for single-syllable word recognition
https://github.com/johannesbuchner/spoken-command-recognition

audio audio-classification dataset machine-learning machine-learning-dataset spoken-english

Last synced: 6 months ago
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A large, free audio sample database (10M words pronounced), a test bed for voice activity detection algorithms and for single-syllable word recognition

• Host: GitHub
• URL: https://github.com/johannesbuchner/spoken-command-recognition
• Owner: JohannesBuchner
• Created: 2017-10-25T12:43:46.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-12-22T19:29:14.000Z (over 7 years ago)
• Last Synced: 2024-04-16T07:05:51.246Z (about 1 year ago)
• Topics: audio, audio-classification, dataset, machine-learning, machine-learning-dataset, spoken-english
• Language: Python
• Homepage:
• Size: 63.5 KB
• Stars: 68
• Watchers: 10
• Forks: 31
• Open Issues: 2
• Metadata Files:
  • Readme: README.beep

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README

        
This pronunciation dictionary is derived from many sources and many

people have made significant contributions.  Please read the

ACKNOWLEDGEMENTS file.

The pronunciation dictionary is derived in part from the Oxford Text

Archive releases 710 and 1054.  These are copyrighted by Oxford

University Press (OUP) and the Medical research council (MRC).  This

work inherits the following restrictions:

a) The dictionary may only be used for research (from MRC sources)

b) The dictionary must not be used commercially (from OUP sources)

These sources may be found at:

  ftp://ota.ox.ac.uk/pub/ota/public/dicts/710/

  ftp://ota.ox.ac.uk/pub/ota/public/dicts/1054/

and this derived work has location:

  ftp://svr-ftp.eng.cam.ac.uk/pub/comp.speech/dictionaries/beep.tar.gz

Considerable effort has been expended to produce this pronunciation

dictionary.  If you make significant use of this resource, you are

requested to contribute.  Tasks that need to be done are:

a) Contribution of new words with pronunciations

b) Adding lexical stress to those entries that do not have it.

c) Any other feedback/bug fixes, etc.

In addition, you are requested to acknowledge this work if it

contributes significantly to any publication.

Tony Robinson

[email protected]

Cambridge University

Engineering Department

Trumpington Street

Cambridge, UK