Automatic Speech Recognition (ASR) is a digital communication method that transforms spoken discourse into written text. This rapidly evolving technology is used in email, text messaging, or live video captioning. Current ASR systems operate in conjunction with Natural Language Processing (NLP) technology to transform speech into text that people -- and machines -- can read. NLP refers to the methodologies and computational tools that analyze data produced in a natural language, such as English. Self-study is the most frequent pedagogical approach taken when integrating ASR into language education, as it usually mediates learner-device interactions instead of learner-learner exchanges. ASR is effectively used for pronunciation training, but more recent uses show that ASR can also promote oral skills beyond pronunciation. This chapter provides examples of ASR tools and applications and discusses the benefits of and potential issues with using ASR in the language learning classroom. [For the complete volume, see ED612143.]