Managing speech databases with emur and the EMU-webapp

As is the nature of the discipline, a majority of speech and language researchers spend a large amount of their time acquiring and transforming data into analyzable and interpretable forms to gain a better understanding of a certain subject matter. In this paper we present a collection of tools that aid the researcher in this sometimes tedious and error-prone process. The tools presented here are part of the next iteration of the EMU speech database management system which aims to be as close to an all-in-one solution for generating, manipulating, querying, analyzing and managing speech databases as possible.