A Model of Continuous Speech Recognition Reveals the Role of Context in Human Speech Perception
Artificial Neural Networks generate human-like speech perception and inform the effect of context on human speech recognition.
Artificial Neural Networks generate human-like speech perception and inform the effect of context on human speech recognition.
This study explored the validation of using artificial intelligence (AI) methods to improve the efficiency and accuracy of speech intelligibility assessment for children.
We collected and analyzed hearing aid mic and induction coil input audio recordings from various real-world situations.