Title:

Communicating with the New Machine: Human Insight at Machine Scale

Speaker:

Bryan Pardo - Associate Professor of Electrical Engineering and Computer Science, Northwestern University, and head of the Northwestern University Interactive Audio Lab.

Talk Abstract:

Potential users of audio production software, such as audio equalizers, may be discouraged by the complexity of the interface and a lack of clear affordances in typical interfaces. We seek to simplify interfaces for task such as audio production (e.g. mastering a music album with ProTools), audio tools (e.g. equalizers) and related consumer devices (e.g. hearing aids). Our approach is to use an evaluative paradigm (“I like this sound better than that sound–) and the use of descriptive language (e.g. “Make the violin sound ‘warmer.'–). To build interfaces that use descriptive language, a system must be able to tell whether the stated goal is appropriate for the selected tool (e.g. making the violin “warmer– with a panning tool does not make sense). If the goal is appropriate for the tool, it must know what actions need to be taken (e.g. add some reverberation). Further, the tool should not impose a vocabulary on users, but rather understand the vocabulary users prefer. In this talk, Prof. Pardo describes recent work in evaluative interfaces (SynthAssist), crowdsourcing a vocabulary for language-based production tools (SocialEQ) and language-based interfaces for production tools (Reverbalize).

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