Speech for Content Creation

Abstract

In this position paper, we propose a different paradigm for using speech to interact with computers: speech for content creation. We survey the literature in automatic speech recognition (ASR), natural language processing (NLP), sentiment detection, and opinion mining to argue that the time has come to use mobile devices to create content on-the-fly. We examine recent work in user modelling and recommender systems to support our claim that using speech in this way can result in a useful interface to uniquely personalizable data. We describe a data collection effort we've recently undertaken to help us build a prototype system for spoken restaurant reviews. This vision critically depends on mobile technology, for enabling the creation of the content and for providing ancillary data to make its processing more relevant to individual users. We feel this type of system can be of use even where only limited speech processing is possible.