Speech recognition semantic classification training

摘要: An automated method is described for developing an speech input semantic classification system such as a call routing system. A set of classifications defined utterances, where each represents specific the input. The trained from training data substantially without manually transcribed in-domain data, and then operated to assign utterances classifications. Adaptation based on collected with assigned labels at least one source already language data. When adaptation satisfies pre-determined criteria, automatically retrained