Computational Models for Speech Production

By Li Deng. 2018

15 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. David Kristjanson Duvenaud
2. Matthew J. Johnson
3. Ryan P. Adams
4. Sergey Levine
5. Sandeep R. Datta
6. Alexander B. Wiltschko
7. Frank Hutter
8. Max Welling

In Experimental and Cognitive Psychology

1. Sandeep R. Datta
2. Matthew J. Johnson
3. David Kristjanson Duvenaud
4. Ryan P. Adams
5. Alexander B. Wiltschko

Citations in the corpus

• Composing graphical models with neural networks for structured representations and fast inference (2016, background): “A similar challenge arises in speech [4], where high-dimensional spectrographic data lie near a low-dimensional manifold because they are generated by a physical system with relatively few degrees of freedom [5] but also include the discrete latent dynamical structure of phonemes, words, and grammar”
• Structured VAEs: Composing Probabilistic Graphical Models and Variational Autoencoders (2016, background): “…in speech (Hinton et al., 2012), where high-dimensional data lie near a low-dimensional manifold because they are generated by a physical system with relatively few degrees of freedom (Deng, 1999) but also include the discrete latent dynamical structure of phonemes, words, and grammar (Deng, 2004).”