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Tone is a prosodic feature used to distinguish words in many languages, some of which are endangered and scarcely documented.
Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound
Paul Boersma. 1993 · 1993
Earlier work this paper cites.
Contextual tonal variations in Mandarin
Yi Xu. 1997 · 1997
Earlier work this paper cites.
Tone sandhi: Patterns across Chinese dialects , volume 92
Matthew Y Chen. 2000 · 2000
Earlier work this paper cites.
Mean shift: A robust approach toward feature space analysis
Dorin Comaniciu and Peter Meer. 2002 · 2002
Earlier work this paper cites.
Tone recognition of continuous Cantonese speech based on support vector machines
Gang Peng and William S-Y Wang. 2005 · 2005
Earlier work this paper cites.
Unsupervised and semi-supervised learning of tone and pitch accent
Gina-Anne Levow. 2006 · 2006
Earlier work this paper cites.
Perceptual learning of Cantonese lexical tones by tone and non-tone language speakers
Alexander L Francis, Valter Ciocca, Lian Ma, and Kimberly Fenn. 2008 · 2008
Earlier work this paper cites.
Ethnologue: Languages of the World , 16th edition
M. Paul Lewis. 2009 · 2009
Cited alongside, same era.
Discovering the phoneme inventory of an unwritten language: A machine-assisted approach
Timothy Kempton and Roger K Moore. 2014 · 2014
Cited alongside, same era.
Mandarin tone classification without pitch tracking
Neville Ryant, Jiahong Yuan, and Mark Liberman. 2014b · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
A comparison of neural network methods for unsupervised representation learning on the zero resource speech challenge
Daniel Renshaw, Herman Kamper, Aren Jansen, and Sharon Goldwater. 2015 · 2015
Cited alongside, same era.
The zero resource speech challenge 2015
Maarten Versteegh, Roland Thiolliere, Thomas Schatz, Xuan Nga Cao, Xavier Anguera, Aren Jansen, and Emmanuel Dupoux. 2015 · 2015
Improving phoneme set discovery for documenting unwritten languages
Markus Müller, Jörg Franke, Sebastian Stüker, and Alex Waibel. 2017a · 2017
Later among the works it cites.
Towards phoneme inventory discovery for documentation of unwritten languages
Markus Müller, Jörg Franke, Alex Waibel, and Sebastian Stüker. 2017b · 2017
Later among the works it cites.
Automatic differentiation in PyTorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
Later among the works it cites.
Modified mean shift algorithm
Y Aliyari Ghassabeh and F Rudzicz. 2018 · 2018
Later among the works it cites.
Introducing Parselmouth: A Python interface to Praat
Yannick Jadoul, Bill Thompson, and Bart De Boer. 2018 · 2018
Later among the works it cites.
Data mining Mandarin tone contour shapes
Shuo Zhang. 2019 · 2019
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Cited alongside, same era.
Tone classification in Mandarin Chinese using convolutional neural networks
Charles Chen, Razvan C Bunescu, Li Xu, and Chang Liu. 2016 · 2016
Cited alongside, same era.
Highly accurate Mandarin tone classification in the absence of pitch information
Neville Ryant, Malcolm Slaney, Mark Liberman, Elizabeth Shriberg, and Jiahong Yuan. 2014a
Cited in the paper.
Grammaticus ex machina: tone inventories as hypothesized by machine
Michael David Fry. 2020 · 2020
Closest in time.