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 Rates are Misleading”. In this article, we will suggest an […]
Supported Phrases – An Introduction to Requirements Requirements documents for simulators often contain very loose definitions for supported phrases. For example, the system shall support all appropriate phrases defined in document XXX and locally supported terminology. Command & Control applications do not typically have the same problem, but often the complete definition of the required
Word Error Rates are Misleading The system must have a Word Error Rate (WER) of 2% or less. This appears to be a reasonable requirement. With such a small error rate, surely, I can be confident that my speech recognition implementation will be a success? Unfortunately, the answer is no for simulation or command and
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 your simulation ASR requirements. Word Accuracy The most commonly quoted
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 pros and cons of different types of language models will
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 presented by the removal of people can often seem daunting
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 technology had reached sufficient maturity that it was a mandatory
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 target audience is the buyers, managers, and developers of speech-enabled
