Suman V. Ravuri

发表

Large-Margin Structured Prediction Extensions of Neural Networks for Automatic Speech Recognition

Suman V. Ravuri, 2015 .

Neural network models for lexical addressee detection

Andreas Stolcke, Suman V. Ravuri, 2014, INTERSPEECH.

Multi-stream to many-stream: using spectro-temporal features for ASR

Nelson Morgan, Suman V. Ravuri, Sherry Y. Zhao, 2009, INTERSPEECH.

Recurrent neural network and LSTM models for lexical utterance classification

Andreas Stolcke, Suman V. Ravuri, A. Stolcke, 2015, INTERSPEECH.

Stylization of pitch with syllable-based linear segments

Daniel P. W. Ellis, Suman V. Ravuri, D. Ellis, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Easy does it: Robust spectro-temporal many-stream ASR without fine tuning streams

Nelson Morgan, Suman V. Ravuri, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A comparative large scale study of MLP features for Mandarin ASR

Wen Wang, Mathew Magimai-Doss, Christian Plahl, 2010, INTERSPEECH.

Using spectro-temporal features to improve AFE feature extraction for ASR

Nelson Morgan, Suman V. Ravuri, 2010, INTERSPEECH.

Hybrid MLP/structured-SVM tandem systems for large vocabulary and robust ASR

Suman V. Ravuri, 2014, INTERSPEECH.

Hybrid DNN-Latent structured SVM acoustic models for continuous speech recognition

Suman V. Ravuri, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

How neural network features and depth modify statistical properties of HMM acoustic models

Suman V. Ravuri, Steven Wegmann, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hierarchical processing of the modulation spectrum for GALE Mandarin LVCSR system

Mathew Magimai-Doss, Christian Plahl, Suman V. Ravuri, 2009, INTERSPEECH.

How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models

Suman V. Ravuri, Steven Wegmann, 2016, INTERSPEECH.

Comparing Different Flavors of Spectro-Temporal Features for ASR

Marc René Schädler, Bernd T. Meyer, Nelson Morgan, 2011, INTERSPEECH.

Revisiting Recurrent Neural Networks for robust ASR

Daniel Povey, Oriol Vinyals, Suman V. Ravuri, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Comparing multilayer perceptron to Deep Belief Network Tandem features for robust ASR

Oriol Vinyals, Suman V. Ravuri, Oriol Vinyals, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The IBM 2008 GALE Arabic speech transcription system

Brian Kingsbury, George Saon, Hagen Soltau, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A comparative study of neural network models for lexical intent classification

Andreas Stolcke, Suman V. Ravuri, A. Stolcke, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Learning Implicit Generative Models with the Method of Learned Moments pdf

Oriol Vinyals, Shakir Mohamed, Suman V. Ravuri, 2018, ICML.

A comparative study of recurrent neural network models for lexical domain classification

Andreas Stolcke, Suman V. Ravuri, A. Stolcke, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cover song detection: From high scores to general classification

Daniel P. W. Ellis, Suman V. Ravuri, D. Ellis, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

RETRACTED: Toward a many-stream framework of cortically-inspired spectro-temporal modulation features for automatic speech recognition

Nelson Morgan, Suman V. Ravuri, Sherry Y. Zhao, 2010 .

Addressee detection for dialog systems using temporal and spectral dimensions of speaking style

Andreas Stolcke, Elizabeth Shriberg, Suman V. Ravuri, 2013, INTERSPEECH.

A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury

Suman V. Ravuri, Jack W. Rae, Ivan V. Protsyuk, 2019, Nature.

Classification Accuracy Score for Conditional Generative Models

Suman V. Ravuri, Suman Ravuri, Oriol Vinyals, 2019, NeurIPS.

Seeing is Not Necessarily Believing: Limitations of BigGANs for Data Augmentation

Suman V. Ravuri, O. Vinyals, 2019 .

AUTOMATIC COVER SONG DETECTION : MOVING FROM HIGH SCORES TO G ENERAL CLASSIFICATION

Suman V. Ravuri, 2009 .

Seeing is Not Necessarily Believing: Limitations of BigGANs for Data Augmentation

Oriol Vinyals, Suman V. Ravuri, Suman Ravuri, 2019 .

Developing Continuous Risk Models for Adverse Event Prediction in Electronic Health Records using Deep Learning

Suman V. Ravuri, Jack W. Rae, Thomas F. Osborne, 2020 .

GraphCast: Learning skillful medium-range global weather forecasting

Suman V. Ravuri, Oriol Vinyals, Timo Ewalds, 2022, ArXiv.

Skilful precipitation nowcasting using deep generative models of radar

Raia Hadsell, Karen Simonyan, Dmitry Kangin, 2021, Nature.

Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records

Suman V. Ravuri, Jack W. Rae, Ivan V. Protsyuk, 2021, Nature Protocols.

A review of radar-based nowcasting of precipitation and applicable machine learning techniques pdf

Dmitry Kangin, Shakir Mohamed, Suman V. Ravuri, 2020, ArXiv.

Machine learning emulation of a local-scale UK climate model

Suman V. Ravuri, E. Kendon, L. Aitchison, 2022, ArXiv.

Understanding Deep Generative Models with Generalized Empirical Likelihoods

Suman V. Ravuri, M. Deisenroth, S. Mohamed, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).