You never change things by fighting the existing reality. To change something, build a new model that makes the existing model obsolete.
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?
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