The projects that I've worked on since 2002 have nearly all been implementations of speech recognition systems, or applied research on listener perceptions of speech reco systems. I've learned that speech reco projects have a lot of characteristics that distinguish them from typical software development projects. I've made note of those characteristics, and started to develop a lessons learned file to capture the kinds of things that must occur in order to ensure a successful project. I'll start posting those lessons over the next few months. Of course, if you have any favorite lesson learned from speech reco projects, please leave a comment.
(The title of the blog post is a take off on the "speech is special" argument that some linguists make based on phenomena like categorical perception that were first observed in speech experiments.)
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