Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

librosa: Audio and Music Signal Analysis in Python

Brian McFee, Colin Raffel, Dawen Liang et al. · Proceedings of the Python in Science Conferences · 2015 · 2.9K citations · Full text

Humanities, Musicology, Information Retrieval +15

Deep Learning Scaling is Predictable, Empirically

Joel Hestness, Sharan Narang, Newsha Ardalani et al. · arXiv (Cornell University) · 2017 · 424 citations · Full text

Computing, Computer Science, Artificial Intelligence +16

Reliable Jitter and Shimmer Measurements in Voice Clinics: The Relevance of Vowel, Gender, Vocal Intensity, and Fundamental Frequency Effects in a Typical Clinical Task

M. Brockmann, Michael Drinnan, Claudio Storck et al. · Journal of Voice · 2010 · 232 citations

Language Studies, Otolaryngology, Speech-language Pathology +13

Identification of Pathological Voices Using Glottal Noise Measures

Vijay Parsa, Donald G. Jamieson · Journal of Speech Language and Hearing Research · 2000 · 183 citations

Language Studies, Speech-language Pathology, Acoustics +16