11. Conclusion
The major components of a smart home ASR system currently exist within the speech
recognition research community, as the evolutionary result of half a century of applied and
academic research. The command-and-control application of appliances and devices within
the home, in particular the constrained grammar syntax, allows a recognizer such as Sphinx
Speech
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to operate with high levels of accuracy. Results are presented here which relate accuracy to
vocabulary size, and associate metrics for reducing vocabulary (and thus maximising
accuracy) through the use of restricted grammars for specialised applications.
Audio aspects related to the smart home, and the use of LVCSR for multi-user dictation
tasks are currently major research thrusts, as is the adaption of ASR systems for use in
embedded devices. The application of speech recognition for performing WWW queries is
probably particularly important for the adoption of such systems within a usable smart
home context, and this work is ongoing, and likely to be greatly assisted if current research
efforts towards a semantic web will impact the WWW as a whole.
The future of ASR within smart homes will be assured first by the creation of niche
applications which deliver to users in a friendly and capable fashion. That the technology
largely exists has been demonstrated here, although there is still some way to go before such
technology will be adopted by the general public.
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