premise: Speech recognition is ignored in all fields.
hypothesis: Speech recognition ( SR ) is the inter-disciplinary sub-field of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers . It incorporates knowledge and research in the linguistics , computer science , and electrical engineering fields . Speech recognition applications include voice user interfaces such as voice dialing ( e.g. `` Call home '' ) , call routing ( e.g. `` I would like to make a collect call '' ) , domotic appliance control , search ( e.g. find a podcast where particular words were spoken ) , simple data entry ( e.g. , entering a credit card number ) , preparation of structured documents ( e.g. a radiology report ) , speech-to-text processing ( e.g. , word processors or emails ) , and aircraft ( usually termed Direct Voice Input ) . The advances are evidenced not only by the surge of academic papers published in the field , but more importantly by the worldwide industry adoption of a variety of deep learning methods in designing and deploying speech recognition systems . These speech industry players include Google , Microsoft , IBM , Baidu , Apple , Amazon , Nuance , SoundHound , IflyTek , CDAC many of which have publicized the core technology in their speech recognition systems as being based on deep learning .