Stylization of pitch with syllable-based linear segments. - Suman V. Ravuri; Daniel P. W. Ellis (ICASSP, 2008)

Hierarchical processing of the modulation spectrum for GALE Mandarin LVCSR system. - Fabio Valente; Mathew Magimai-Doss; Christian Plahl; Suman V. Ravuri (INTERSPEECH, 2009)

Multi-stream to many-stream: using spectro-temporal features for ASR. - Sherry Y. Zhao; Suman V. Ravuri; Nelson Morgan (INTERSPEECH, 2009)

Cover song detection: From high scores to general classification. - Suman V. Ravuri; Daniel P. W. Ellis (ICASSP, 2010)

Using spectro-temporal features to improve AFE feature extraction for ASR. - Suman V. Ravuri; Nelson Morgan (INTERSPEECH, 2010)

A comparative large scale study of MLP features for Mandarin ASR. - Fabio Valente; Mathew Magimai-Doss; Christian Plahl; Suman V. Ravuri; Wen Wang (INTERSPEECH, 2010)

The IBM 2009 GALE Arabic speech transcription system. - Brian Kingsbury; Hagen Soltau; George Saon; Stephen M. Chu; Hong-Kwang Kuo; Lidia Mangu; Suman V. Ravuri; Nelson Morgan; Adam Janin (ICASSP, 2011)

Comparing multilayer perceptron to Deep Belief Network Tandem features for robust ASR. - Oriol Vinyals; Suman V. Ravuri (ICASSP, 2011)

Comparing Different Flavors of Spectro-Temporal Features for ASR. - Bernd T. Meyer; Suman V. Ravuri; Marc René Schädler; Nelson Morgan (INTERSPEECH, 2011)

Transcribing Mandarin Broadcast Speech Using Multi-Layer Perceptron Acoustic Features. - Fabio Valente; Mathew Magimai-Doss; Christian Plahl; Suman V. Ravuri; Wen Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2011)

Easy does it: Robust spectro-temporal many-stream ASR without fine tuning streams. - Suman V. Ravuri; Nelson Morgan (ICASSP, 2012)

Revisiting Recurrent Neural Networks for robust ASR. - Oriol Vinyals; Suman V. Ravuri; Daniel Povey (ICASSP, 2012)

Addressee detection for dialog systems using temporal and spectral dimensions of speaking style. - Elizabeth Shriberg; Andreas Stolcke; Suman V. Ravuri (INTERSPEECH, 2013)

Hybrid MLP/structured-SVM tandem systems for large vocabulary and robust ASR. - Suman V. Ravuri (INTERSPEECH, 2014)

Neural network models for lexical addressee detection. - Suman V. Ravuri; Andreas Stolcke (INTERSPEECH, 2014)

Hybrid DNN-Latent structured SVM acoustic models for continuous speech recognition. - Suman V. Ravuri (ASRU, 2015)

A comparative study of neural network models for lexical intent classification. - Suman V. Ravuri; Andreas Stolcke (ASRU, 2015)

Recurrent neural network and LSTM models for lexical utterance classification. - Suman V. Ravuri; Andreas Stolcke (INTERSPEECH, 2015)

Large-Margin Structured Prediction Extensions of Neural Networks for Automatic Speech Recognition. - Suman V. Ravuri (2015)

A comparative study of recurrent neural network models for lexical domain classification. - Suman V. Ravuri; Andreas Stolcke (ICASSP, 2016)

How neural network features and depth modify statistical properties of HMM acoustic models. - Suman V. Ravuri; Steven Wegmann (ICASSP, 2016)

How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models. - Suman V. Ravuri; Steven Wegmann (INTERSPEECH, 2016)

Learning Implicit Generative Models with the Method of Learned Moments. - Suman V. Ravuri; Shakir Mohamed; Mihaela Rosca; Oriol Vinyals (ICML, 2018)

Classification Accuracy Score for Conditional Generative Models. - Suman V. Ravuri; Oriol Vinyals (NeurIPS, 2019)

A review of radar-based nowcasting of precipitation and applicable machine learning techniques. - Rachel Prudden; Samantha V. Adams; Dmitry Kangin; Niall H. Robinson; Suman V. Ravuri; Shakir Mohamed; Alberto Arribas (CoRR, 2020)

Skillful Precipitation Nowcasting using Deep Generative Models of Radar. - Suman V. Ravuri; Karel Lenc; Matthew Willson; Dmitry Kangin; Rémi Lam; Piotr Mirowski; Megan Fitzsimons; Maria Athanassiadou; Sheleem Kashem; Sam Madge; Rachel Prudden; Amol Mandhane; et al. (CoRR, 2021)

Skilful precipitation nowcasting using deep generative models of radar. - Suman V. Ravuri; Karel Lenc; Matthew Willson; Dmitry Kangin; Rémi Lam; Piotr Mirowski; Megan Fitzsimons; Maria Athanassiadou; Sheleem Kashem; Sam Madge; Rachel Prudden; Amol Mandhane; et al. (Nat., 2021)

Machine learning emulation of a local-scale UK climate model. - Henry Addison; Elizabeth Kendon; Suman V. Ravuri; Laurence Aitchison; Peter A. G. Watson (CoRR, 2022)

GraphCast: Learning skillful medium-range global weather forecasting. - Rémi Lam; Alvaro Sanchez-Gonzalez; Matthew Willson; Peter Wirnsberger; Meire Fortunato; Alexander Pritzel; Suman V. Ravuri; Timo Ewalds; Ferran Alet; Zach Eaton-Rosen; Weihua Hu; Alexander Merose; et al. (CoRR, 2022)

Understanding Deep Generative Models with Generalized Empirical Likelihoods. - Suman V. Ravuri; Mélanie Rey; Shakir Mohamed; Marc Peter Deisenroth (CVPR, 2023)

Neural Compression of Atmospheric States. - Piotr Mirowski; David Warde-Farley; Mihaela Rosca; Matthew Koichi Grimes; Yana Hasson; Hyunjik Kim; Mélanie Rey; Simon Osindero; Suman V. Ravuri; Shakir Mohamed (CoRR, 2024)

Machine learning emulation of precipitation from km-scale regional climate simulations using a diffusion model. - Henry Addison; Elizabeth Kendon; Suman V. Ravuri; Laurence Aitchison; Peter A. G. Watson (CoRR, 2024)