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Artificial intelligence and other approaches to speech understanding: reflections on methodology
Authors:NIGEL WARD
Affiliation:1. Department of Electrical Engineering, Tuskegee University, Tuskegee, AL, USAzlu@ieee.org;3. Eli Lilly and Company, Indianapolis, IN, USA;4. Department of Mechanical Engineering, University of Houston, Houston, TX, USA
Abstract:This paper characterizes the methodology of Artificial Intelligence (AI) by looking at research in speech understanding, a field where AI approaches contrast starkly with the alternatives, particularly engineering approaches. Four values of AI stand out as influential: ambitious goals, introspective plausibility, computational elegance, and wide significance. The paper also discusses the utility and larger significance of these values.
Keywords:Research Methodology Artificial Intelligence Speech Understanding Introspection
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