EARS: Single Word Recognition Package

• Platform: Linux and Unixs with the Voxware sound driver
• Description: Intended as a limited ready-to-use single word recognizer. However, its design aims at being a platform for various kinds of methods used in speech recognition (SR). EARS is designed to be a flexible environment for recognition system components; for example, take this feature extractor and that recognizing method, and this list of words. New methods for single word recognition can be integrated easily, as EARS uses C++ abstract base classes. You speak the words you want to be recognized later. Your utterances can be saved to RIFF WAV files for inspection, change or delete them before they are further processed to the pattern files on which the recognizer is finally trained. As of version 0.20, the feature extractors are: Rasta-PLP, PLP, LPC, Mel-Cepstrum. The implemented recognizers are: DTW and non-recurrent neural nets on fixed-size sound patterns.
• Requirements: Soundcard with mic
• Misc 1: The current version is an Alpha release.
• Misc 2: For more information subscribe to the EARS mailing list. Send email to majordomo@phil.uni-sb.de with "subscribe ears-list" in the body.
• Misc 3: Niels Thorwirth (thorwir@pi4.informatik.uni-mannheim.de) has made changes to Version 0.14 which support the AF audio server software (see Q1.11) and the OGI Speech Tools (see Q1.9) so that EARS is more portable to other UNIX platforms. Available by email to Niels.
• Requirements: Soundcard with mic
• Availability: Source and Linux binaries are available by anonymous ftp
  ftp://svr-ftp.eng.cam.ac.uk/pub/comp.speech/recognition/ears-0.26.tar.gz
  ftp://sunsite.unc.edu/pub/Linux/apps/sound/speech/ears-0.26.tar.gz
• Contact: Ralf W. Stephan: ralf@ark.franken.de

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