Large Vocabulary Hardware-based Speech Recognition

Abstract

To achieve improved real-time performance, hardware-based speech recognition systems have emerged in recent years. While past efforts have demonstrated drastic improvements over software-based speech recognition systems, the tradeoffs between vocabulary size and performance remain. This work reviews several approaches to hardware-based speech recognition and discusses in detail the manner in which information pertaining to vocabulary is stored, accessed and used in speech recognition. Furthermore, we investigate the connections among speed, accuracy, robustness and the implementation selected for a large vocabulary speech recognition system in hardware.