Fitzgerald Compares Human and Machine Speech Recognition in Noise
In this manuscript we demonstrate that modern automatic speech recognition systems, built using millions of hours of unsupervised training data, are anywhere from normal to mildly impaired at recognizing speech in noise relative to human listeners.