A General Regression Framework for Learning String-to-String Mappings

Abstract

The problem of learning a mapping from strings to strings arises in many areas of text and speech processing. As an example, an important component of speech recognition or speech synthesis systems is a pronunciation model, which provides the possible phonemic transcriptions of a word, or a sequence of words. An accurate pronunciation model is crucial for… (More)

Topics

7 Figures and Tables

Slides referencing similar topics