You never change things by fighting the existing reality. To change something, build a new model that makes the existing model obsolete.
Using Artificial Grammar Limitations Speech recognition is a valuable addition to any simulation training system, but only if implemented correctly. There are many considerations for what implemented correctly means. In this article, we will discuss the use of artificial grammar limitations e.g., state-based grammar, and
The Importance of Detailed Requirements The purchase of an Automatic Speech Recognition (ASR) System is a challenging exercise. Consequently, if done poorly, the resulting program execution risks being a disaster. Spending time on writing requirements for speech recognition permits the evaluation and testing of ASR
In earlier posts, we discussed how we might specify and measure speech recognition accuracy when using a constrained grammar model. The definition of the required phrases was also explored. If we could trust the users of our system only to use the supported phrases, we
ASR Accuracy and Usability In an earlier post A Word About Accuracy, we discussed various ASR accuracy methods used in requirements specifications and testing. Why word accuracy is a poor choice in simulation and command & control applications, was explained in the post “Word Error
Speech Recognition Accuracy Measures In this first post on speech recognition accuracy measures, we will describe the common methods for measuring error/accuracy rates. In a follow-up post, we will continue to discuss why those error rate measurements might not be a practical way to describe
ASR Language Model In very basic terms, a language model is a collection of words and phrases that you wish to be recognizable by your Automatic Speech Recognition (ASR) component. For simulation systems, this is typically in the form of a constrained grammar model (the
Replacing Role Players Replacing role players in simulation is achieved by the adoption of automatic speech recognition. ASR enabled simulator benefits are numerous, but primarily, ASR can reduce the costs of simulation by reducing or eliminating the need for human role players. However, the challenges
Speech Recognition for Simulation Training Automatic Speech recognition for simulation training has been used for over three decades. However, it was not until 2001 that the application of ASR in the training domain saw its first widespread success. It was at this time that the
Speech Recognition – Welcome to the Verbyx Blog In this series of posts, we will be discussing the practical application of automatic speech recognition (ASR). Initially, our target domains will be human-in-the-loop simulations and command & control applications. Primary Audience and Speech Recognition Domains The