Noise, either in the form of masking or in the form of distortion products, interferes with speech intelligibility. When the signal-to-noise ratio is bad enough, articulation can drop to unacceptably--even dangerously--low levels. However, listeners are capable of learning to listen to such speech and to improve their comprehension of it. In the experiments described here, the nature of this learning and the necessary amounts of time for maximum improvement are explored.
The effects of several types of signal degradation are discussed, as are suggestions for training listeners to understand them. Among the processes investigated are the transfer of listening experience with one kind of signal to the analysis of another kind, the effects of actively participating in the listening task, and the results of manipulating motivation.
Student pilots or new air traffic controllers have two ways to learn to understand the noisy and distorted communications common to aircraft operation...
This report highlights the crucial role of Automatic Speech Recognition (ASR) techniques in enhancing safety for air traffic control (ATC) in terminal...
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