Make all functionality available via voice control.
Discussion by Disabilities (Benefits & Preferred Behaviors)
People who are blind may not be able to see text as they type, and thus can enter text more quickly and efficiently through a voice input system.
People who have very low vision may not be able to see text as they type, and thus can enter text more quickly and efficiently through a voice input system.
People with severe physical disabilities may have difficulty typing or pointing with a traditional keyboard and mouse. Voice input can be used instead to type much more efficiently.
Please note that these products are not necessarily endorsed by RtF, but represent the range of available options.
Open Source and free
These products are free and their source code may be modified with few restrictions.
- Shoot 1.6.4
- Speech Dasher – U. of Cambridge
- SUITEKeys – College of Charleston, U. of Louisiana – Lafayette
Free, not necessarily open source
These products are free to use, but may have strict restrictions on viewing and modifying source code.
- e-Speaking – e-Speaking
- SimplyWeb2000 – EconoNet International
- Windows Speech Recognition – Microsoft
- VLINGO – VLINGO
Commercial, with free trial
These products are free to try for a limited period of time or with limited functionality. They must be purchased for full functionality.
Commercial, no free trial
These products must be purchased to be used, and did not offer free trials at the time of posting.
- Adept1 – Amazability
- Dragon Naturally Speaking – Nuance
- iCommunicator – PPR
- J-Say – Tandt Consulting
- MacSpeech Dictate – MacSpeech
- NetEcho – Internet Speech
- Talking Desktop – Talking Desktop
- ViaVoice – IBM
- VOCALPC – AIDA
Related Research and Papers
- Mixed-initiative dialog management for speech-based interaction with graphical user interfaces – Löhr, A. and Brügge, B. (2008)
- A browser for a public-domain SpeechWeb – University of Windsor – Frost, R.A., Ma, X., and Shi, Y. (2007)
- The vocal joystick:: evaluation of voice-based cursor control techniques – University of Washington – Harada, S., Landay, J.A., Malkin, J., Li, X., and Bilmes, J.A. (2006)
- Support for input adaptability in the ICON toolkit – Dragicevic, P. and Fekete, J. (2004)
- Web engineering meets natural language processing: a vocal interface generation practice – Cidade Universitária, Brazil – Macedo, H., Robin, J., and Barros, R. (2005)
- CMU Sphinx Group Open Source Speech Recognition Engines – Carnegie Mellon