Technology, Artificial Intelligence, Machine Learning, Data Science, Deep Learning.
activations and known speech rhythm metrics. The findings illustrate the potential of deep learning tools to advance our understanding of speech rhythm through the identification and exploration of linguistically relevant acoustic feature spac