Bhuvana Ramabhadran

发表

Learning filter banks within a deep neural network framework

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Auto-encoder bottleneck features using deep belief networks

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Clustering with Modified Cosine Distance Learned from Constraints

Bhuvana Ramabhadran, Ruhi Sarikaya, Dimitri Kanevsky, 2011, INTERSPEECH.

Trends in Speech and Language Processing [In the Spotlight]

John H. L. Hansen, Bhuvana Ramabhadran, Junlan Feng, 2012, IEEE Signal Process. Mag..

Supporting access to large digital oral history archives

Bhuvana Ramabhadran, Michael Picheny, William J. Byrne, 2002, JCDL '02.

Use of metadata to improve recognition of spontaneous speech and named entities

Geoffrey Zweig, Bhuvana Ramabhadran, Olivier Siohan, 2004, INTERSPEECH.

Dictionary-based pitch tracking with dynamic programming

Bhuvana Ramabhadran, Ewout van den Berg, 2014, INTERSPEECH.

ON THE EFFECT OFWORD ERROR RATE ON AUTOMATED QUALITY MONITORING

Geoffrey Zweig, Bhuvana Ramabhadran, George Saon, 2006, 2006 IEEE Spoken Language Technology Workshop.

Improved pre-training of Deep Belief Networks using Sparse Encoding Symmetric Machines

Tara N. Sainath, Bhuvana Ramabhadran, David Nahamoo, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

End-to-end ASR-free keyword search from speech

Brian Kingsbury, Bhuvana Ramabhadran, Andrew Rosenberg, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Use of isometric transformations and bayesian estimation in compressive sensing for fMRI classification

Tara N. Sainath, Bhuvana Ramabhadran, Pini Gurfil, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Constructing ensembles of ASR systems using randomized decision trees

Brian Kingsbury, Bhuvana Ramabhadran, Olivier Siohan, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

IBM Research Report Lossy Speech Compression Via Compressed Sensing-Based

Bhuvana Ramabhadran, Dimitri Kanevsky, Avishy Carmi, 2009 .

Automatic keyword selection for keyword search development and tuning

Brian Kingsbury, Bhuvana Ramabhadran, Jia Cui, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Access to large spoken archives: Uses and technology. Sponsored by SIG VIS

Bhuvana Ramabhadran, Jerry Goldman, Dagobert Soergel, 2002, ASIST.

Recent progress in deep end-to-end models for spoken language processing

Bhuvana Ramabhadran, George Saon, Michael Picheny, 2017, IBM J. Res. Dev..

Direct Acoustics-to-Word Models for English Conversational Speech Recognition

Bhuvana Ramabhadran, George Saon, Michael Picheny, 2017, INTERSPEECH.

Exploiting active-learning strategies for annotating prosodic events with limited labeled data

Bhuvana Ramabhadran, Raul Fernandez, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hill climbing on speech lattices: A new rescoring framework

Bhuvana Ramabhadran, Mark Dredze, Ariya Rastrow, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Balancing false alarms and hits in Spoken Term Detection

Bhuvana Ramabhadran, Abhinav Sethy, Carolina Parada, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition

Bhuvana Ramabhadran, Masafumi Nishimura, Nobuyasu Itoh, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets

Ebru Arisoy, Tara N. Sainath, Brian Kingsbury, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automatic exploration of corpus-specific properties for expressive text-to-speech: a case study in emphasis

Bhuvana Ramabhadran, Raul Fernandez, 2007, SSW.

Invariant Representations for Noisy Speech Recognition pdf

Bhuvana Ramabhadran, Yoshua Bengio, Dmitriy Serdyuk, 2016, ArXiv.

Gradient steepness metrics using extended Baum-Welch transformations for universal pattern recognition tasks

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speech recognition error analysis on the English MALACH corpus

Geoffrey Zweig, Bhuvana Ramabhadran, Olivier Siohan, 2004, INTERSPEECH.

Transliteration Based Approaches to Improve Code-Switched Speech Recognition Performance

Bhuvana Ramabhadran, Jesse Emond, Brian Roark, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Speech Signal Processing

Bhuvana Ramabhadran, Michael Picheny, Jerry D. Gibson, 1997, Circuits, Signals, and Speech and Image Processing.

Multilingual Data Selection for Low Resource Speech Recognition

Brian Kingsbury, Bhuvana Ramabhadran, Jia Cui, 2016, INTERSPEECH.

Parallel Deep Neural Network Training for Big Data on Blue Gene/Q

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2017, IEEE Trans. Parallel Distributed Syst..

Joint training of interpolated exponential n-gram models

Ebru Arisoy, Bhuvana Ramabhadran, Shrikanth S. Narayanan, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Network architectures for multilingual speech representation learning

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic recognition of spontaneous speech for access to multilingual oral history archives

Bhuvana Ramabhadran, Michael Picheny, William J. Byrne, 2004, IEEE Transactions on Speech and Audio Processing.

Phrase Boundary Assignment from Text in Multiple Domains

Bhuvana Ramabhadran, Andrew Rosenberg, Raul Fernandez, 2012, INTERSPEECH.

The IBM 2007 speech transcription system for European parliamentary speeches

Bhuvana Ramabhadran, Olivier Siohan, Abhinav Sethy, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Harmonic feature fusion for robust neural network-based acoustic modeling

Bhuvana Ramabhadran, Osamu Ichikawa, Takashi Fukuda, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Issues Involved In Voicemail Data Collection

Bhuvana Ramabhadran, Ponani S. Gopalakrishnan, Mukund Padmanabhan, 1998 .

Knowledge distillation across ensembles of multilingual models for low-resource languages

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Developing speech recognition systems for corpus indexing under the IARPA Babel program

Xiaodong Cui, Tara N. Sainath, Brian Kingsbury, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Bag-of-word normalized n-gram models

Bhuvana Ramabhadran, Abhinav Sethy, 2008, INTERSPEECH.

An exploration of large vocabulary tools for small vocabulary phonetic recognition

Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Efficient Knowledge Distillation from an Ensemble of Teachers

Bhuvana Ramabhadran, Jia Cui, Takashi Fukuda, 2017, INTERSPEECH.

Data Augmentation Improves Recognition of Foreign Accented Speech

Bhuvana Ramabhadran, Andrew Rosenberg, Takashi Fukuda, 2018, INTERSPEECH.

Impact of word classing on shrinkage-based language models

Bhuvana Ramabhadran, Ruhi Sarikaya, Stanley F. Chen, 2010, INTERSPEECH.

Scaling shrinkage-based language models

Bhuvana Ramabhadran, Ruhi Sarikaya, Stanley F. Chen, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Automatic Transcription of Czech Language Oral History in the MALACH Project: Resources and Initial Experiments

Bhuvana Ramabhadran, William J. Byrne, Vlasta Radová, 2002, TSD.

Improving Speech Recognition Using GAN-Based Speech Synthesis and Contrastive Unspoken Text Selection

Bhuvana Ramabhadran, Andrew Rosenberg, Pedro J. Moreno, 2020, INTERSPEECH.

DATADRIVENAPPROACHFORLANGUAGE MODEL ADAPTATIONUSINGSTEPWISE RELATIVEENTROPYMINIMIZATION

Bhuvana Ramabhadran, Shrikanth Narayanan, Abhinav Sethy, 2007 .

A generalized family of parameter estimation techniques

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Broad phonetic class recognition in a Hidden Markov model framework using extended Baum-Welch transformations

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

TRANSCRIPTION OF NEW SPEAKING STYLES - VOICEMAIL

Bhuvana Ramabhadran, Lalit R. Bahl, Ponani S. Gopalakrishnan, 1998 .

Proceedings of the NAACL-HLT 2012 Workshop: Will We Ever Really Replace the N-gram Model? On the Future of Language Modeling for HLT - Workshop Notes

Ebru Arisoy, Bhuvana Ramabhadran, Sanjeev Khudanpur, 2012, WLM@NAACL-HLT.

Effect of pronounciations on OOV queries in spoken term detection

Bhuvana Ramabhadran, Murat Saraclar, Erica Cooper, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Measuring the Effect of Linguistic Resources on Prosody Modeling for Speech Synthesis

Bhuvana Ramabhadran, Andrew Rosenberg, Raul Fernandez, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Innovative approaches for large vocabulary name recognition

Bhuvana Ramabhadran, Michael Picheny, Hakan Erdogan, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Bayesian compressive sensing for phonetic classification

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multimodal Classification of Activities of Daily Living Inside Smart Homes

Bhuvana Ramabhadran, Nadia Mana, Fabio Pianesi, 2009, IWANN.

Speech processing and retrieval in a personal memory aid system for the elderly

Bhuvana Ramabhadran, Hagai Aronowitz, Jonathan Mamou, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data Driven Approach for Language Model Adaptation using Stepwise Relative Entropy Minimization

Bhuvana Ramabhadran, Shrikanth S. Narayanan, Abhinav Sethy, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Language modeling with highway LSTM

Bhuvana Ramabhadran, George Saon, Gakuto Kurata, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Acoustics-based baseform generation with pronunciation and/or phonotactic models

Bhuvana Ramabhadran, Sabine Deligne, Abraham Ittycheriah, 1999, EUROSPEECH.

Kalman filtering for compressed sensing

Tara N. Sainath, Bhuvana Ramabhadran, Pini Gurfil, 2010, 2010 13th International Conference on Information Fusion.

Improved Spoken Query Transcription Using Co-Occurrence Information

Bhuvana Ramabhadran, Jonathan Mamou, Ron Hoory, 2011, INTERSPEECH.

Improving Speech Recognition Using Consistent Predictions on Synthesized Speech

Bhuvana Ramabhadran, Yu Zhang, Pedro J. Moreno, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Whole Sentence Neural Language Models

Bhuvana Ramabhadran, Kartik Audhkhasi, Abhinav Sethy, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The IBM Submission to the 2008 Text-to-Speech Blizzard Challenge

Bhuvana Ramabhadran, Yong Qin, Slava Shechtman, 2008 .

Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition

Bhuvana Ramabhadran, Mark Hasegawa-Johnson, Andrew Rosenberg, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Comparison of Data Augmentation and Adaptation Strategies for Code-switched Automatic Speech Recognition

Bhuvana Ramabhadran, Jesse Emond, Andrew Rosenberg, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Semantic word embedding neural network language models for automatic speech recognition

Bhuvana Ramabhadran, Kartik Audhkhasi, Abhinav Sethy, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An evaluation of posterior modeling techniques for phonetic recognition

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling pdf

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, ArXiv.

Training variance and performance evaluation of neural networks in speech

Bhuvana Ramabhadran, Michael Picheny, Ewout van den Berg, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Generalization of extended baum-welch parameter estimation for discriminative training and decoding

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2008, INTERSPEECH.

Voice-transformation-based data augmentation for prosodic classification

Bhuvana Ramabhadran, Andrew Rosenberg, Alexander Sorin, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Application specific loss minimization using gradient boosting

Tara N. Sainath, Bhuvana Ramabhadran, Abhinav Sethy, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep belief nets for natural language call-routing

Bhuvana Ramabhadran, Geoffrey E. Hinton, Ruhi Sarikaya, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast decoding for open vocabulary spoken term detection

Brian Kingsbury, Bhuvana Ramabhadran, Jonathan Mamou, 2009, HLT-NAACL.

Factor analysis invariant to linear transformations of data

Bhuvana Ramabhadran, Ramesh A. Gopinath, Satya Dharanipragada, 1998, ICSLP.

Semi-supervised term-weighted value rescoring for keyword search

Bhuvana Ramabhadran, Shrikanth S. Narayanan, Kartik Audhkhasi, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A new method for OOV detection using hybrid word/fragment system

Bhuvana Ramabhadran, Ariya Rastrow, Abhinav Sethy, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Dynamic selection of feature spaces for robust speech recognition

Bhuvana Ramabhadran, Michael Picheny, Yuqing Gao, 2000, INTERSPEECH.

Acoustically discriminative language model training with pseudo-hypothesis

Bhuvana Ramabhadran, Masafumi Nishimura, Ariya Rastrow, 2012, Speech Commun..

Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior

Heiga Zen, Bhuvana Ramabhadran, Yu Zhang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Language Modeling/Pronunciation Modeling

Bhuvana Ramabhadran, Michael Picheny, Stanley F. Chen, 2012 .

Making Deep Belief Networks effective for large vocabulary continuous speech recognition

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Unnormalized exponential and neural network language models

Ebru Arisoy, Bhuvana Ramabhadran, Stanley F. Chen, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Reducing Computational Complexities of Exemplar-Based Sparse Representations with Applications to Large Vocabulary Speech Recognition

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2011, INTERSPEECH.

Exploiting vocal-source features to improve ASR accuracy for low-resource languages

Xiaodong Cui, Bhuvana Ramabhadran, Jia Cui, 2014, INTERSPEECH.

Impact of audio segmentation and segment clustering on automated transcription accuracy of large spoken archives

Jing Huang, Bhuvana Ramabhadran, Harriet J. Nock, 2003, INTERSPEECH.

Performance prediction and shrinking language models

Bhuvana Ramabhadran, Ahmad Emami, Ruhi Sarikaya, 2011, Symposium on Machine Learning in Speech and Language Processing.

Converting Neural Network Language Models into Back-off Language Models for Efficient Decoding in Automatic Speech Recognition

Ebru Arisoy, Bhuvana Ramabhadran, Stanley F. Chen, 2013, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Acoustics-only based automatic phonetic baseform generation

Bhuvana Ramabhadran, Lalit R. Bahl, Mukund Padmanabhan, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Improvements to filterbank and delta learning within a deep neural network framework

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Introduction to the Special Issue on End-to-End Speech and Language Processing

Brian Kingsbury, Bhuvana Ramabhadran, Mary P. Harper, 2017, IEEE J. Sel. Top. Signal Process..

Converting Neural Network Language Models into back-off language models for efficient decoding in automatic speech recognition

Ebru Arisoy, Bhuvana Ramabhadran, Stanley F. Chen, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Data selection for language modeling using sparse representations

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2010, INTERSPEECH.

Automated Quality Monitoring in the Call Center with ASR and Maximum Entropy

Geoffrey Zweig, Brian Kingsbury, Bhuvana Ramabhadran, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Boosted MMI for model and feature-space discriminative training

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2014, INTERSPEECH.

An analysis of sparseness and regularization in exemplar-based methods for speech classification

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2010, INTERSPEECH.

Effective joint training of denoising feature space transforms and Neural Network based acoustic models

Bhuvana Ramabhadran, Ryuki Tachibana, Osamu Ichikawa, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Belief Networks using discriminative features for phone recognition

Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Proceedings of the Workshop on Interdisciplinary Approaches to Speech Indexing and Retrieval at HLT-NAACL 2004

Bhuvana Ramabhadran, Douglas W. Oard, 2004 .

Lecture 9 LVCSR Decoding (cont'd) and Robustness

Bhuvana Ramabhadran, Michael Picheny, Stanley F. Chen, 2012 .

Towards automatic transcription of large spoken archives - English ASR for the MALACH project

Jing Huang, Bhuvana Ramabhadran, Michael Picheny, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model pdf

Tara N. Sainath, Bhuvana Ramabhadran, Arindrima Datta, 2019, INTERSPEECH.

Leveraging word confusion networks for named entity modeling and detection from conversational telephone speech

Bhuvana Ramabhadran, Masafumi Nishimura, Nobuyasu Itoh, 2012, Speech Commun..

Exploiting large quantities of spontaneous speech for unsupervised training of acoustic models

Bhuvana Ramabhadran, 2005, INTERSPEECH.

Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Speech recognition for DARPA Communicator

Bhuvana Ramabhadran, George Saon, Michael Picheny, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Weakly-Supervised Phrase Assignment from Text in a Speech-Synthesis System Using Noisy Labels

Bhuvana Ramabhadran, Andrew Rosenberg, Zvi Kons, 2017, INTERSPEECH.

Discriminative Training, ROVER, and Consensus

Bhuvana Ramabhadran, Michael Picheny, Stanley F. Chen, 2012 .

IBM Research Report Isometry-enforcing Data Transformations for Improving Sparse Model Learning

Bhuvana Ramabhadran, Dimitri Kanevsky, Guillermo A. Cecchi, 2009 .

Exemplar-Based Processing for Speech Recognition: An Overview

Tara N. Sainath, Bhuvana Ramabhadran, Jerome R. Bellegarda, 2012, IEEE Signal Processing Magazine.

Phonetic query expansion for spoken document retrieval

Bhuvana Ramabhadran, Jonathan Mamou, B. Ramabhadran, 2008, INTERSPEECH.

Speech recognition performance on a voicemail transcription task

Bhuvana Ramabhadran, Mukund Padmanabhan, Sankar Basu, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Decision tree based rate of speech modeling for speech recognition

Bhuvana Ramabhadran, Yuqing Gao, 2000, INTERSPEECH.

10 th Annual Conference of the International Speech

Bhuvana Ramabhadran, Sylvain Raybaud, David Langlois, 2009 .

Enhancing Exemplar-Based Posteriors for Speech Recognition Tasks

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2012, INTERSPEECH.

Iterative sentence-pair extraction from quasi-parallel corpora for machine translation

Bhuvana Ramabhadran, Ruhi Sarikaya, Ea-Ee Jan, 2009, INTERSPEECH.

Fast audio search using vector space modelling

Bhuvana Ramabhadran, Brett Matthews, Upendra V. Chaudhari, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Continuous space language modeling techniques

Bhuvana Ramabhadran, Ahmad Emami, Ruhi Sarikaya, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Improvements to Deep Convolutional Neural Networks for LVCSR

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Recent improvements in neural network acoustic modeling for LVCSR in low resource languages

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2014, INTERSPEECH.

Cross-Language Access to Recorded Speech in the MALACH Project

Bhuvana Ramabhadran, Michael Picheny, William J. Byrne, 2002, TSD.

SCADA: Stochastic, Consistent and Adversarial Data Augmentation to Improve ASR

Bhuvana Ramabhadran, Andrew Rosenberg, Yu Zhang, 2020, INTERSPEECH.

Improvements in English ASR for the MALACH project using syllable-centric models

Bhuvana Ramabhadran, Shrikanth Narayanan, Abhinav Sethy, 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

Trends and advances in speech recognition

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2011, IBM J. Res. Dev..

Parallel Deep Neural Network Training for Big Data on Blue Gene/Q

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2017, IEEE Transactions on Parallel and Distributed Systems.

End-to-end speech recognition and keyword search on low-resource languages

Bhuvana Ramabhadran, Michael Picheny, Andrew Rosenberg, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient GPU implementation of convolutional neural networks for speech recognition

Bhuvana Ramabhadran, Daniel Brand, Leonid Rachevsky, 2015, INTERSPEECH.

Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Pruning exponential language models

Bhuvana Ramabhadran, Stanley F. Chen, Abhinav Sethy, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Building an information retrieval test collection for spontaneous conversational speech

Bhuvana Ramabhadran, Jianqiang Wang, Douglas W. Oard, 2004, SIGIR '04.

Prosody contour prediction with long short-term memory, bi-directional, deep recurrent neural networks

Bhuvana Ramabhadran, Asaf Rendel, Ron Hoory, 2014, INTERSPEECH.

Feature Combination Approaches for Discriminative Language Models

Ebru Arisoy, Bhuvana Ramabhadran, Hong-Kwang Jeff Kuo, 2011, INTERSPEECH.

Domain Adaptation of CNN Based Acoustic Models Under Limited Resource Settings

Bhuvana Ramabhadran, George Saon, Ryuki Tachibana, 2016, INTERSPEECH.

Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning

Heiga Zen, Bhuvana Ramabhadran, Yonghui Wu, 2019, INTERSPEECH.

Open Problems in Speech Recognition

Bhuvana Ramabhadran, 2018, INTERSPEECH.

Convergence of Line Search A-Function Methods

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2011, INTERSPEECH.

Constructing ensembles of dissimilar acoustic models using hidden attributes of training data

Bhuvana Ramabhadran, Ryuki Tachibana, Puming Zhan, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A convex hull approach to sparse representations for exemplar-based speech recognition

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Fast Neural Network Language Model Lookups at N-Gram Speeds

Bhuvana Ramabhadran, Abhinav Sethy, Yinghui Huang, 2017, INTERSPEECH.

Sparse Representations for Speech Recognition

Tara N. Sainath, Bhuvana Ramabhadran, Stephen J. Wright, 2014 .

Kernel methods match Deep Neural Networks on TIMIT

Tara N. Sainath, Bhuvana Ramabhadran, Po-Sen Huang, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep convolutional neural networks for LVCSR

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automated transcription and topic segmentation of large spoken archives

Bhuvana Ramabhadran, Michael Picheny, Martin Franz, 2003, INTERSPEECH.

Generalized Ambiguity Decomposition for Understanding Ensemble Diversity pdf

Bhuvana Ramabhadran, Shrikanth S. Narayanan, Kartik Audhkhasi, 2013, ArXiv.

System combination and score normalization for spoken term detection

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Measuring convergence in language model estimation using relative entropy

Bhuvana Ramabhadran, Shrikanth S. Narayanan, Abhinav Sethy, 2004, INTERSPEECH.

Parallel deep neural network training for LVCSR tasks using blue gene/Q

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2014, INTERSPEECH.

Exemplar-based Sparse Representation phone identification features

Tara N. Sainath, Bhuvana Ramabhadran, Vaibhava Goel, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Static interpolation of exponential n-gram models using features of features

Bhuvana Ramabhadran, Stanley F. Chen, Abhinav Sethy, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sparse representations for text categorization

Tara N. Sainath, Bhuvana Ramabhadran, Julia Hirschberg, 2010, INTERSPEECH.

Deep scattering spectra with deep neural networks for LVCSR tasks

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2014, INTERSPEECH.

Enhanced likelihood computation using regression

Bhuvana Ramabhadran, Michael Picheny, Yuqing Gao, 1999, EUROSPEECH.

Improved language modeling for conversational applications using sentence quality

Bhuvana Ramabhadran, Mark E. Epstein, Rajesh Balchandran, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Frame-level AnyBoost for LVCSR with the MMI Criterion

Bhuvana Ramabhadran, Ryuki Tachibana, Puming Zhan, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

A-Functions: A generalization of Extended Baum-Welch transformations to convex optimization

Tara N. Sainath, Bhuvana Ramabhadran, Peder A. Olsen, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

English Conversational Telephone Speech Recognition by Humans and Machines

Xiaodong Cui, Bhuvana Ramabhadran, George Saon, 2017, INTERSPEECH.

Empirical Exploration of Novel Architectures and Objectives for Language Models

Bhuvana Ramabhadran, George Saon, Gakuto Kurata, 2017, INTERSPEECH.

Neural Oracle Search on N-BEST Hypotheses

Bhuvana Ramabhadran, Pedro J. Moreno, Ehsan Variani, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units

Bhuvana Ramabhadran, Vaibhava Goel, Jia Cui, 2016, INTERSPEECH.

An autoencoder neural-network based low-dimensionality approach to excitation modeling for HMM-based text-to-speech

Bhuvana Ramabhadran, Srikanth Vishnubhotla, Raul Fernandez, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Incorporating sparse representation phone identification features in automatic speech recognition using exponential families

Tara N. Sainath, Bhuvana Ramabhadran, Vaibhava Goel, 2010, INTERSPEECH.

Multilingual representations for low resource speech recognition and keyword search

Brian Kingsbury, Bhuvana Ramabhadran, Michael Picheny, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Modeling phrasing and prominence using deep recurrent learning

Bhuvana Ramabhadran, Andrew Rosenberg, Raul Fernandez, 2015, INTERSPEECH.

Vocabulary independent spoken term detection

Bhuvana Ramabhadran, Olivier Siohan, Jonathan Mamou, 2007, SIGIR.

An Iterative Relative Entropy Minimization-Based Data Selection Approach for n-Gram Model Adaptation

Bhuvana Ramabhadran, Panayiotis G. Georgiou, Shrikanth S. Narayanan, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Discriminative training and unsupervised adaptation for labeling prosodic events with limited training data

Bhuvana Ramabhadran, Raul Fernandez, B. Ramabhadran, 2010, INTERSPEECH.

Query-by-example Spoken Term Detection For OOV terms

Bhuvana Ramabhadran, Abhinav Sethy, Carolina Parada, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

An empirical study of confusion modeling in keyword search for low resource languages

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Map approach to learning sparse Gaussian Markov networks

Bhuvana Ramabhadran, Dimitri Kanevsky, Katya Scheinberg, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speech Recognition with Augmented Synthesized Speech

Bhuvana Ramabhadran, Ye Jia, Yu Zhang, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

A study of unsupervised clustering techniques for language modeling

Bhuvana Ramabhadran, Hong-Kwang Jeff Kuo, Abhinav Sethy, 2008, INTERSPEECH.

Creating ensemble of diverse maximum entropy models

Bhuvana Ramabhadran, Shrikanth S. Narayanan, Kartik Audhkhasi, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised Model Adaptation using Information-Theoretic Criterion

Bhuvana Ramabhadran, Ariya Rastrow, Frederick Jelinek, 2010, HLT-NAACL.

Distributed training of large scale exponential language models

Bhuvana Ramabhadran, Stanley F. Chen, Abhinav Sethy, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cultural voice markers in speech-to-speech machine translation systems

Bhuvana Ramabhadran, Michael Picheny, Osamuyimen Stewart, 2009, IWIC '09.

Symbol Sequence Search from Telephone Conversation

Bhuvana Ramabhadran, Kenneth Ward Church, Masayuki Suzuki, 2017, INTERSPEECH.

Bias and Statistical Significance in Evaluating Speech Synthesis with Mean Opinion Scores

Bhuvana Ramabhadran, Andrew Rosenberg, B. Ramabhadran, 2017, INTERSPEECH.

Current status of the IBM Trainable Speech Synthesis System

Mahesh Viswanathan, Bhuvana Ramabhadran, Michael Picheny, 2001, SSW.

Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Scattering Spectrum with deep neural networks

Tara N. Sainath, Bhuvana Ramabhadran, Vaibhava Goel, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multilingual Speech Recognition with Self-Attention Structured Parameterization

Bhuvana Ramabhadran, Qian Zhang, Han Lu, 2020, INTERSPEECH.

15 Speech Retrieval

Bhuvana Ramabhadran, Murat Saraclar, Timothy J. Hazen, 2011 .

Shrinkage-Based Features for Natural Language Call Routing

Bhuvana Ramabhadran, Ruhi Sarikaya, Stanley F. Chen, 2011, INTERSPEECH.

Constrained discriminative training of N-gram language models

Bhuvana Ramabhadran, Ariya Rastrow, Abhinav Sethy, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Effect of pronunciations on OOV queries in spoken term detection

Bhuvana Ramabhadran, Murat Saraclar, Erica Cooper, 2009 .

Towards using hybrid word and fragment units for vocabulary independent LVCSR systems

Bhuvana Ramabhadran, Ariya Rastrow, Frederick Jelinek, 2009, INTERSPEECH.

F0 contour prediction with a deep belief network-Gaussian process hybrid model

Bhuvana Ramabhadran, Asaf Rendel, Ron Hoory, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Deep Convolutional Neural Networks for Large-scale Speech Tasks

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2015, Neural Networks.

Techniques for topic detection based processing in spoken dialog systems

Bhuvana Ramabhadran, Leonid Rachevsky, Rajesh Balchandran, 2010, INTERSPEECH.

Using deep bidirectional recurrent neural networks for prosodic-target prediction in a unit-selection text-to-speech system

Bhuvana Ramabhadran, Asaf Rendel, Ron Hoory, 2015, INTERSPEECH.

LSTM Acoustic Models Learn to Align and Pronounce with Graphemes pdf

Bhuvana Ramabhadran, Arindrima Datta, Eugene Weinstein, 2020, ArXiv.

Unsupervised pronunciation validation

Bhuvana Ramabhadran, Patrick J. Wolfe, Murat Saraclar, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Editorial for the special issue on spoken content retrieval

Bhuvana Ramabhadran, Murat Saraclar, Ciprian Chelba, 2014, Comput. Speech Lang..

Bidirectional recurrent neural network language models for automatic speech recognition

Ebru Arisoy, Bhuvana Ramabhadran, Stanley F. Chen, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A high-performance Cantonese keyword search system

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automated Quality Monitoring for Call Centers using Speech and NLP Technologies

Geoffrey Zweig, Brian Kingsbury, Bhuvana Ramabhadran, 2006, NAACL.

Web derived pronunciations for spoken term detection

Bhuvana Ramabhadran, Sanjeev Khudanpur, Michael Riley, 2009, SIGIR.

End-to-end ASR-free keyword search from speech

Brian Kingsbury, Bhuvana Ramabhadran, Andrew Rosenberg, 2017, ICASSP.

A multi-region deep neural network model in speech recognition

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2015, INTERSPEECH.

Multilingual Spoken Term Detection: Finding and Testing New Pronunciations

Bhuvana Ramabhadran, Richard Sproat, Sanjeev Khudanpur, 2008 .

Sparse representation features for speech recognition

Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky, 2010, INTERSPEECH.

Diverse Embedding Neural Network Language Models pdf

Bhuvana Ramabhadran, Kartik Audhkhasi, Abhinav Sethy, 2015, ICLR.

Prediction of F0 contours from symbolic and numerical variables using continuous conditional random fields

Bhuvana Ramabhadran, Raul Fernandez, Steve Minnis, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Neural Network Training Variations in Speech and Subsequent Performance Evaluation

Bhuvana Ramabhadran, Michael Picheny, Ewout van den Berg, 2016 .

N-best entropy based data selection for acoustic modeling

Tara N. Sainath, Bhuvana Ramabhadran, Jie Zhou, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Using continuous lexical embeddings to improve symbolic-prosody prediction in a text-to-speech front-end

Bhuvana Ramabhadran, Asaf Rendel, Ron Hoory, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exemplar-based processing for speech recognition

Bhuvana Ramabhadran, Jerome R. Bellegarda, Dirk Van Compernolle, 2012 .

Phonological rules for enhancing acoustic enrollment of unknown words

Bhuvana Ramabhadran, Abraham Ittycheriah, 1998, ICSLP.

Mixture of Informed Experts for Multilingual Speech Recognition

Bhuvana Ramabhadran, Pedro J. Moreno, Manasa Prasad, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition pdf

Tara N. Sainath, Bhuvana Ramabhadran, Aren Jansen, 2021, ArXiv.

Mixture Model Attention: Flexible Streaming and Non-Streaming Automatic Speech Recognition

Bhuvana Ramabhadran, Kartik Audhkhasi, Pedro J. Moreno, 2021, Interspeech.

Conformer Parrotron: A Faster and Stronger End-to-End Speech Conversion and Recognition Model for Atypical Speech

Bhuvana Ramabhadran, Fadi Biadsy, Pedro J. Moreno, 2021, Interspeech.

Self-Adaptive Distillation for Multilingual Speech Recognition: Leveraging Student Independence

Bhuvana Ramabhadran, Pedro J. Moreno, Manasa Prasad, 2021, Interspeech.

Convolutional Dropout and Wordpiece Augmentation for End-to-End Speech Recognition

Bhuvana Ramabhadran, Kartik Audhkhasi, Yinghui Huang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Extending Parrotron: An End-to-End, Speech Conversion and Speech Recognition Model for Atypical Speech

Bhuvana Ramabhadran, Fadi Biadsy, Pedro J. Moreno, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Regularizing Word Segmentation by Creating Misspellings

Bhuvana Ramabhadran, Jesse Emond, Kartik Audhkhasi, 2021, Interspeech.

Injecting Text in Self-Supervised Speech Pretraining pdf

Bhuvana Ramabhadran, Andrew Rosenberg, Zhehuai Chen, 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

DEVELOPING KEYWORD SEARCH UNDER THE IARPA BABEL PROGRAM

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013 .