2026 Bhuvana Ramabhadran: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	57	3792	3687	1806	1742	327	14791

Research.com Recognitions

2017 - IEEE Fellow For contributions to speech recognition and language processing

Overview

Bhuvana Ramabhadran is affiliated with Google, United States. Their research primarily spans across computer science, with a significant focus on artificial intelligence and signal processing. Their work addresses various topics involving speech recognition and synthesis, natural language processing techniques, music and audio processing, speech and audio processing, topic modeling, speech and dialogue systems, and brain tumor detection and classification.

Their notable recent publications include:

"BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition" (2022) published in IEEE Journal of Selected Topics in Signal Processing
"Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages" (2023) published in arXiv (Cornell University)
"MAESTRO: Matched Speech Text Representations through Modality Matching" (2022) presented at Interspeech 2022
"Injecting Text in Self-Supervised Speech Pretraining" (2021) from the 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
"Tts4pretrain 2.0: Advancing the use of Text and Speech in ASR Pretraining with Consistency and Contrastive Losses" (2022) presented at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Frequent collaborators in their research include Gary Wang, Andrew E. Rosenberg, Andrew Rosenberg, Zhehuai Chen, and Pedro J. Moreno.

The venues where Bhuvana Ramabhadran commonly publishes reflect a concentration in speech and signal processing communities, including:

arXiv (Cornell University)
Interspeech 2022
2022 IEEE Spoken Language Technology Workshop (SLT)
IEEE Journal of Selected Topics in Signal Processing
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Their research areas cover:

Speech Recognition and Synthesis
Natural Language Processing Techniques
Music and Audio Processing
Speech and Audio Processing
Topic Modeling
Speech and dialogue systems
Brain Tumor Detection and Classification

Bhuvana Ramabhadran was recognized as an IEEE Fellow in 2017 for contributions to speech recognition and language processing.

Best Publications

Deep Convolutional Neural Networks for Large-scale Speech Tasks

Tara N. Sainath;Brian Kingsbury;George Saon;Hagen Soltau

1749
Citations
Deep convolutional neural networks for LVCSR

Tara N. Sainath;Abdel-rahman Mohamed;Brian Kingsbury;Bhuvana Ramabhadran

1304
Citations
Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets

Tara N. Sainath;Brian Kingsbury;Vikas Sindhwani;Ebru Arisoy

727
Citations
Boosted MMI for model and feature-space discriminative training

D. Povey;D. Kanevsky;B. Kingsbury;B. Ramabhadran

478
Citations
Deep Belief Networks using discriminative features for phone recognition

Abdel-rahman Mohamed;Tara N. Sainath;George Dahl;Bhuvana Ramabhadran

391
Citations
English Conversational Telephone Speech Recognition by Humans and Machines

George Saon;Gakuto Kurata;Tom Sercu;Kartik Audhkhasi

314
Citations
Improvements to Deep Convolutional Neural Networks for LVCSR

Tara N. Sainath;Brian Kingsbury;Abdel-rahman Mohamed;George E. Dahl

273
Citations
Deep Neural Network Language Models

Ebru Arisoy;Tara N. Sainath;Brian Kingsbury;Bhuvana Ramabhadran

268
Citations
Vocabulary independent spoken term detection

Jonathan Mamou;Bhuvana Ramabhadran;Olivier Siohan

261
Citations
Efficient Knowledge Distillation from an Ensemble of Teachers.

Takashi Fukuda;Masayuki Suzuki;Gakuto Kurata;Samuel Thomas

239
Citations
Making Deep Belief Networks effective for large vocabulary continuous speech recognition

Tara N. Sainath;Brian Kingsbury;Bhuvana Ramabhadran;Petr Fousek

236
Citations
Auto-encoder bottleneck features using deep belief networks

Tara N. Sainath;Brian Kingsbury;Bhuvana Ramabhadran

233
Citations
Method and system for accent correction

Sara H. Basson;Dimitiri Kanevsky;Edward E. Kelley;Bhuvana Ramabhadran

230
Citations
Method and apparatus for a communication device for use by a hearing impaired/mute or deaf person or in silent environments

Peter Thomas Brunet;Abraham P. Ittycheriah;Chandrasekhar Narayanaswami;Michael Alan Picheny

223
Citations
Learning filter banks within a deep neural network framework

Tara N. Sainath;Brian Kingsbury;Abdel-rahman Mohamed;Bhuvana Ramabhadran

189
Citations
Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning

Yu Zhang;Ron J. Weiss;Heiga Zen;Yonghui Wu

184
Citations
Large-Scale Multilingual Speech Recognition With A Streaming End-To-End Model

Anjuli Kannan;Arindrima Datta;Tara N. Sainath;Eugene Weinstein

182
Citations
Deep belief nets for natural language call-routing

Ruhi Sarikaya;Geoffrey E. Hinton;Bhuvana Ramabhadran

181
Citations
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Unknown

179
Citations
Automatic recognition of spontaneous speech for access to multilingual oral history archives

W. Byrne;D. Doermann;M. Franz;S. Gustman

168
Citations
Enhanced likelihood computation using regression in a speech recognition system

Peter V. De Souza;Yuqing Gao;Michael Picheny;Bhuvana Ramabhadran

166
Citations

Frequent Co-Authors

Tara N. Sainath Google (United States)

Dimitri Kanevsky Google (United States)

Michael Picheny IBM (United States)

Brian Kingsbury IBM (United States)

David Nahamoo Pyron Inc.

George Saon IBM (United States)

Ruhi Sarikaya Amazon (United States)

Abdel-rahman Mohamed Facebook (United States)

Yonghui Wu Google (United States)

Edward E. Kelley IBM (United States)

External Links

Personal website of Bhuvana Ramabhadran Google Scholar page

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