sections on needed tools and existing tools, from the working group on annotation standards:

Open source toolkits for making tools for checking well-formedness of annotations (e.g., CDET at http://www.icsi.berkeley.edu/~jan/projects/CDET/).
Open source tools for automating some aspects of some types of annotation, such as ASR-based alignment of segmental transcription.
Open source toolkits for building translations between annotations and importing from data in other formats (e.g., NLTK shoebox/toolbox module; Scott Farrar's tool for translating Praat IPA into Unicode IPA).
Tools for aligning time stamps for annotations of the audio built in, say, Praat, with the time stamps for annotations of the video built in, say, ELAN.

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Here are some things that I would think of as killer apps in my corner of language:
R (http://www.r-project.org/) and the sub-communities and packages related to linguistics research that it has enabled, such as Emu (http://emu.sourceforge.net/), as well as new approaches to teaching statistics and numerical reasoning to linguists (see, e.g., http://www.ling.uni-potsdam.de/~vasishth/SFLS.html and http://www.ualberta.ca/~baayen/#statistics)
WebExp (http://www.webexp.info/) and related applications facilitated by languages such as Java, Python, etc.
Praat (praat.org) for the way that it is free and very easy for even high school students to learn how to use

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