Brian Kingsbury

209 papers A* 6A 47B 1C 10Misc 54Journal 72Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	A Non-autoregressive Model for Joint STT and TTS. ICASSP Vishal Sunder, Brian Kingsbury, George Saon, Samuel Thomas, Slava Shechtman, Hagai Aronowitz, Eric Fosler-Lussier, Luis A. Lastras
2025	J	`jnl`	A Non-autoregressive Model for Joint STT and TTS. CoRR Vishal Sunder, Brian Kingsbury, George Saon, Samuel Thomas, Slava Shechtman, Hagai Aronowitz, Eric Fosler-Lussier, Luis A. Lastras
2025	J	`jnl`	BiRQ: Bi-Level Self-Labeling Random Quantization for Self-Supervised Speech Recognition. CoRR Liuyuan Jiang, Xiaodong Cui, Brian Kingsbury, Tianyi Chen, Lisha Chen
2025	A*	`conf`	CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. CVPR Edson Araujo, Andrew Rouditchenko, Yuan Gong, Saurabhchand Bhati, Samuel Thomas, Brian Kingsbury, Leonid Karlinsky, Rogério Feris, James R. Glass, Hilde Kuehne
2025	J	`jnl`	CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. CoRR Edson Araujo, Andrew Rouditchenko, Yuan Gong, Saurabhchand Bhati, Samuel Thomas, Brian Kingsbury, Leonid Karlinsky, Rogério Feris, James R. Glass, Hilde Kuehne
2025	A	`conf`	Exploring the Limits of Conformer CTC-Encoder for Speech Emotion Recognition using Large Language Models. INTERSPEECH Edmilson Da Silva Morais, Hagai Aronowitz, Aharon Satt, Ron Hoory, Avihu Dekel, Brian Kingsbury, George Saon
2025	C	`conf`	Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities. ASRU George Saon, Avihu Dekel, Alexander Brooks, Tohru Nagano, Abraham Daniels, Aharon Satt, Ashish R. Mittal, Brian Kingsbury, David Haws, Edmilson Da Silva Morais, Gakuto Kurata, Hagai Aronowitz, Ibrahim Ibrahim, Hong-Kwang Kuo, Kate Soule, Luis A. Lastras, Masayuki Suzuki, Ron Hoory, Samuel Thomas, Sashi Novitasari, Takashi Fukuda, Vishal Sunder, Xiaodong Cui, Zvi Kons
2025	C	`conf`	MADASR 2.0: Multi-Lingual Multi-Dialect ASR Challenge in 8 Indian Languages. ASRU Saurabh Kumar, Sumit Sharma, Deekshitha G, Abhayjeet Singh, Amartyaveer, Sathvik Udupa, Sandhya Badiger, Sanjeev Khudanpur, Sunayana Sitaram, Srinivasan Umesh, Bhuvana Ramabhadran, Brian Kingsbury, Hema A. Murthy, Srikanth S. Narayanan, Howard Lakougna, Prasanta Kumar Ghosh
2025	J	`jnl`	Objective Soups: Multilingual Multi-Task Modeling for Speech Processing. CoRR A. F. M. Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen
2025	J	`jnl`	Self-Supervised Pre-Training with Equilibrium Constraints. CoRR Xiaodong Cui, A. F. M. Saif, Brian Kingsbury, Tianyi Chen
2024	J	`jnl`	Bilevel Joint Unsupervised and Supervised Training for Automatic Speech Recognition. CoRR Xiaodong Cui, A. F. M. Saif, Songtao Lu, Lisha Chen, Tianyi Chen, Brian Kingsbury, George Saon
2024	A	`conf`	Exploring the limits of decoder-only models trained on public speech recognition corpora. INTERSPEECH Ankit Gupta, George Saon, Brian Kingsbury
2024	J	`jnl`	Exploring the limits of decoder-only models trained on public speech recognition corpora. CoRR Ankit Gupta, George Saon, Brian Kingsbury
2024	Misc	`conf`	Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. ICASSP A. F. M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen
2024	J	`jnl`	Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. CoRR A. F. M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen
2024	A	`conf`	M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization. INTERSPEECH A. F. M. Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen
2024	Misc	`conf`	Semi-Autoregressive Streaming ASR with Label Context. ICASSP Siddhant Arora, George Saon, Shinji Watanabe, Brian Kingsbury
2023	Misc	`conf`	C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. ICASSP Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
2023	A	`conf`	Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. INTERSPEECH Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass
2023	J	`jnl`	Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. CoRR Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass
2023	A	`conf`	ConvKT: Conversation-Level Knowledge Transfer for Context Aware End-to-End Spoken Language Understanding. INTERSPEECH Vishal Sunder, Eric Fosler-Lussier, Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury
2023	Misc	`conf`	Fine-Grained Textual Knowledge Transfer to Improve RNN Transducers for Speech Recognition and Understanding. ICASSP Vishal Sunder, Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, Eric Fosler-Lussier
2023	B	`conf`	High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction. ISIT Kristjan H. Greenewald, Brian Kingsbury, Yuancheng Yu
2023	J	`jnl`	High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction. CoRR Kristjan H. Greenewald, Brian Kingsbury, Yuancheng Yu
2023	A	`conf`	Improving RNN Transducer Acoustic Models for English Conversational Speech Recognition. INTERSPEECH Xiaodong Cui, George Saon, Brian Kingsbury
2023	Misc	`conf`	Multi-Speaker Data Augmentation for Improved end-to-end Automatic Speech Recognition. ICASSP Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Brian Kingsbury
2023	J	`jnl`	Semi-Autoregressive Streaming ASR With Label Context. CoRR Siddhant Arora, George Saon, Shinji Watanabe, Brian Kingsbury
2023	J	`jnl`	Soft Random Sampling: A Theoretical and Empirical Analysis. CoRR Xiaodong Cui, Ashish R. Mittal, Songtao Lu, Wei Zhang, George Saon, Brian Kingsbury
2022	Misc	`conf`	A New Data Augmentation Method for Intent Classification Enhancement and its Application on Spoken Conversation Datasets. ICASSP Zvi Kons, Aharon Satt, Hong-Kwang Kuo, Samuel Thomas, Boaz Carmeli, Ron Hoory, Brian Kingsbury
2022	A*	`conf`	A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. NeurIPS Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
2022	J	`jnl`	A new data augmentation method for intent classification enhancement and its application on spoken conversation datasets. CoRR Zvi Kons, Aharon Satt, Hong-Kwang Kuo, Samuel Thomas, Boaz Carmeli, Ron Hoory, Brian Kingsbury
2022	A	`conf`	Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. INTERSPEECH Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan
2022	J	`jnl`	Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. CoRR Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan
2022	J	`jnl`	C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. CoRR Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
2022	Misc	`conf`	Decentralized Bilevel Optimization for Personalized Client Learning. ICASSP Songtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh
2022	A*	`conf`	Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CVPR Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
2022	A	`conf`	Global RNN Transducer Models For Multi-dialect Speech Recognition. INTERSPEECH Takashi Fukuda, Samuel Thomas, Masayuki Suzuki, Gakuto Kurata, George Saon, Brian Kingsbury
2022	J	`jnl`	Improving End-to-End Models for Set Prediction in Spoken Language Understanding. CoRR Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Brian Kingsbury, George Saon
2022	Misc	`conf`	Improving End-to-end Models for Set Prediction in Spoken Language Understanding. ICASSP Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Brian Kingsbury, George Saon
2022	A	`conf`	Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing. INTERSPEECH Xiaodong Cui, George Saon, Tohru Nagano, Masayuki Suzuki, Takashi Fukuda, Brian Kingsbury, Gakuto Kurata
2022	J	`jnl`	Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing. CoRR Xiaodong Cui, George Saon, Tohru Nagano, Masayuki Suzuki, Takashi Fukuda, Brian Kingsbury, Gakuto Kurata
2022	J	`jnl`	Integrating Text Inputs For Training and Adapting RNN Transducer ASR Models. CoRR Samuel Thomas, Brian Kingsbury, George Saon, Hong-Kwang Jeff Kuo
2022	Misc	`conf`	Integrating Text Inputs for Training and Adapting RNN Transducer ASR Models. ICASSP Samuel Thomas, Brian Kingsbury, George Saon, Hong-Kwang Jeff Kuo
2022	A	`conf`	Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems. INTERSPEECH Vishal Sunder, Eric Fosler-Lussier, Samuel Thomas, Hong-Kwang Kuo, Brian Kingsbury
2022	J	`jnl`	Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems. CoRR Vishal Sunder, Eric Fosler-Lussier, Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury
2022	Misc	`conf`	Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding. ICASSP Vishal Sunder, Samuel Thomas, Hong-Kwang Jeff Kuo, Jatin Ganhotra, Brian Kingsbury, Eric Fosler-Lussier
2022	J	`jnl`	Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding. CoRR Vishal Sunder, Samuel Thomas, Hong-Kwang Jeff Kuo, Jatin Ganhotra, Brian Kingsbury, Eric Fosler-Lussier
2022	J	`jnl`	Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems. CoRR Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, George Saon
2022	Misc	`conf`	Towards Reducing the Need for Speech Training Data to Build Spoken Language Understanding Systems. ICASSP Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, George Saon
2022	A	`conf`	VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. INTERSPEECH Jiatong Shi, George Saon, David Haws, Shinji Watanabe, Brian Kingsbury
2022	J	`jnl`	VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. CoRR Jiatong Shi, George Saon, David Haws, Shinji Watanabe, Brian Kingsbury
2021	A	`conf`	4-Bit Quantization of LSTM-Based Speech Recognition Models. Interspeech Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
2021	J	`jnl`	4-bit Quantization of LSTM-based Speech Recognition Models. CoRR Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
2021	A	`conf`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2021	Misc	`conf`	Advancing RNN Transducer Technology for Speech Recognition. ICASSP George Saon, Zoltán Tüske, Daniel Bolaños, Brian Kingsbury
2021	J	`jnl`	Advancing RNN Transducer Technology for Speech Recognition. CoRR George Saon, Zoltán Tüske, Daniel Bolaños, Brian Kingsbury
2021	J	`jnl`	Asynchronous Decentralized Distributed Training of Acoustic Models. CoRR Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung
2021	J	`jnl`	Asynchronous Decentralized Distributed Training of Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung
2021	A	`conf`	Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
2021	J	`jnl`	Cascaded Multilingual Audio-Visual Learning from Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
2021	Misc	`conf`	End-to-End Spoken Language Understanding Using Transformer Networks and Self-Supervised Pre-Trained Features. ICASSP Edmilson Da Silva Morais, Hong-Kwang Jeff Kuo, Samuel Thomas, Zoltán Tüske, Brian Kingsbury
2021	J	`jnl`	Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CoRR Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
2021	J	`jnl`	Federated Acoustic Modeling For Automatic Speech Recognition. CoRR Xiaodong Cui, Songtao Lu, Brian Kingsbury
2021	Misc	`conf`	Federated Acoustic Modeling for Automatic Speech Recognition. ICASSP Xiaodong Cui, Songtao Lu, Brian Kingsbury
2021	A	`conf`	Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio. Interspeech Gakuto Kurata, George Saon, Brian Kingsbury, David Haws, Zoltán Tüske
2021	A	`conf`	Integrating Dialog History into End-to-End Spoken Language Understanding Systems. Interspeech Jatin Ganhotra, Samuel Thomas, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon, Zoltán Tüske, Brian Kingsbury
2021	J	`jnl`	Integrating Dialog History into End-to-End Spoken Language Understanding Systems. CoRR Jatin Ganhotra, Samuel Thomas, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon, Zoltán Tüske, Brian Kingsbury
2021	J	`jnl`	Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. CoRR Wei Zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu
2021	A*	`conf`	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
2021	J	`jnl`	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
2021	A	`conf`	On the Limit of English Conversational Speech Recognition. Interspeech Zoltán Tüske, George Saon, Brian Kingsbury
2021	J	`jnl`	On the limit of English conversational speech recognition. CoRR Zoltán Tüske, George Saon, Brian Kingsbury
2021	J	`jnl`	RNN Transducer Models For Spoken Language Understanding. CoRR Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Zoltán Tüske, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory
2021	Misc	`conf`	RNN Transducer Models for Spoken Language Understanding. ICASSP Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Zoltán Tüske, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory
2021	A	`conf`	Reducing Exposure Bias in Training Recurrent Neural Network Transducers. Interspeech Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske
2021	J	`jnl`	Reducing Exposure Bias in Training Recurrent Neural Network Transducers. CoRR Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske
2021	J	`jnl`	Representation based meta-learning for few-shot spoken intent recognition. CoRR Ashish R. Mittal, Samarth Bharadwaj, Shreya Khare, Saneem A. Chemmengath, Karthik Sankaranarayanan, Brian Kingsbury
2020	J	`jnl`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2020	A	`conf`	End-to-End Spoken Language Understanding Without Full Transcripts. INTERSPEECH Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Yinghui Huang, Kartik Audhkhasi, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory, Luis A. Lastras
2020	J	`jnl`	End-to-End Spoken Language Understanding Without Full Transcripts. CoRR Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Yinghui Huang, Kartik Audhkhasi, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory, Luis A. Lastras
2020	J	`jnl`	End-to-end spoken language understanding using transformer networks and self-supervised pre-trained features. CoRR Edmilson Da Silva Morais, Hong-Kwang Jeff Kuo, Samuel Thomas, Zoltán Tüske, Brian Kingsbury
2020	Misc	`conf`	Fast Training of Deep Neural Networks for Speech Recognition. ICASSP Guojing Cong, Brian Kingsbury, Chih-Chieh Yang, Tianyi Liu
2020	Misc	`conf`	Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny
2020	J	`jnl`	Improving Efficiency in Large-Scale Decentralized Distributed Training. CoRR Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny
2020	Misc	`conf`	Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems. ICASSP Yinghui Huang, Hong-Kwang Kuo, Samuel Thomas, Zvi Kons, Kartik Audhkhasi, Brian Kingsbury, Ron Hoory, Michael Picheny
2020	J	`jnl`	Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems. CoRR Yinghui Huang, Hong-Kwang Kuo, Samuel Thomas, Zvi Kons, Kartik Audhkhasi, Brian Kingsbury, Ron Hoory, Michael Picheny
2020	A	`conf`	Representation Based Meta-Learning for Few-Shot Spoken Intent Recognition. INTERSPEECH Ashish R. Mittal, Samarth Bharadwaj, Shreya Khare, Saneem A. Chemmengath, Karthik Sankaranarayanan, Brian Kingsbury
2020	A	`conf`	Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard. INTERSPEECH Zoltán Tüske, George Saon, Kartik Audhkhasi, Brian Kingsbury
2020	J	`jnl`	Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300. CoRR Zoltán Tüske, George Saon, Kartik Audhkhasi, Brian Kingsbury
2020	A	`conf`	Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings. INTERSPEECH Samuel Thomas, Kartik Audhkhasi, Brian Kingsbury
2019	J	`jnl`	A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition. CoRR Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny
2019	A	`conf`	A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition. INTERSPEECH Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny
2019	A*	`conf`	Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. ICML Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf
2019	A	`conf`	Challenging the Boundaries of Speech Recognition: The MALACH Corpus. INTERSPEECH Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon
2019	J	`jnl`	Challenging the Boundaries of Speech Recognition: The MALACH Corpus. CoRR Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon
2019	J	`jnl`	Distributed Deep Learning Strategies For Automatic Speech Recognition. CoRR Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny
2019	Misc	`conf`	Distributed Deep Learning Strategies for Automatic Speech Recognition. ICASSP Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny
2019	Misc	`conf`	English Broadcast News Speech Recognition by Humans and Machines. ICASSP Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltán Tüske, George Saon, Brian Kingsbury, Michael Picheny, Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko
2019	J	`jnl`	English Broadcast News Speech Recognition by Humans and Machines. CoRR Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltán Tüske, George Saon, Brian Kingsbury, Michael Picheny, Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko
2019	A*	`conf`	Estimating Information Flow in Deep Neural Networks. ICML Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy
2019	A	`conf`	Forget a Bit to Learn Better: Soft Forgetting for CTC-Based Automatic Speech Recognition. INTERSPEECH Kartik Audhkhasi, George Saon, Zoltán Tüske, Brian Kingsbury, Michael Picheny
2019	J	`jnl`	Kernel Approximation Methods for Speech Recognition. J. Mach. Learn. Res. Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha
2019	Misc	`conf`	Sequence Noise Injected Training for End-to-end Speech Recognition. ICASSP George Saon, Zoltán Tüske, Kartik Audhkhasi, Brian Kingsbury
2019	C	`conf`	Simplified LSTMS for Speech Recognition. ASRU George Saon, Zoltán Tüske, Kartik Audhkhasi, Brian Kingsbury, Michael Picheny, Samuel Thomas
2018	J	`jnl`	Beyond Backprop: Alternating Minimization with co-Activation Memory. CoRR Anna Choromanska, Sadhana Kumaravel, Ronny Luss, Irina Rish, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf
2018	Misc	`conf`	Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition. ICASSP Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Michael Picheny
2018	J	`jnl`	Estimating Information Flow in Neural Networks. CoRR Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy
2018	J	`jnl`	Understanding Unequal Gender Classification Accuracy from Face Images. CoRR Vidya Muthukumar, Tejaswini Pedapati, Nalini K. Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney
2017	—	`conf`	Accelerating deep neural network learning for speech recognition on a cluster of GPUs. MLHPC@SC Guojing Cong, Brian Kingsbury, Soumyadip Gosh, George Saon, Fan Zhou
2017	J	`jnl`	Building competitive direct acoustics-to-word models for English conversational speech recognition. CoRR Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Michael Picheny
2017	J	`jnl`	End-to-End ASR-Free Keyword Search From Speech. IEEE J. Sel. Top. Signal Process. Kartik Audhkhasi, Andrew Rosenberg, Abhinav Sethy, Bhuvana Ramabhadran, Brian Kingsbury
2017	J	`jnl`	End-to-End ASR-free Keyword Search from Speech. CoRR Kartik Audhkhasi, Andrew Rosenberg, Abhinav Sethy, Bhuvana Ramabhadran, Brian Kingsbury
2017	Misc	`conf`	End-to-end ASR-free keyword search from speech. ICASSP Kartik Audhkhasi, Andrew Rosenberg, Abhinav Sethy, Bhuvana Ramabhadran, Brian Kingsbury
2017	J	`jnl`	Introduction to the Special Issue on End-to-End Speech and Language Processing. IEEE J. Sel. Top. Signal Process. Bhuvana Ramabhadran, Nancy F. Chen, Mary P. Harper, Brian Kingsbury, Kate M. Knill
2017	J	`jnl`	Kernel Approximation Methods for Speech Recognition. CoRR Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel J. Hsu, Brian Kingsbury, Michael Picheny, Fei Sha
2017	Misc	`conf`	Knowledge distillation across ensembles of multilingual models for low-resource languages. ICASSP Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Tom Sercu, Kartik Audhkhasi, Abhinav Sethy, Markus Nußbaum-Thom, Andrew Rosenberg
2017	Misc	`conf`	Network architectures for multilingual speech representation learning. ICASSP Tom Sercu, George Saon, Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Brian Kingsbury, Abhinav Sethy
2017	J	`jnl`	Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. IEEE Trans. Parallel Distributed Syst. I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Vernon Austel, Upendra V. Chaudhari, Brian Kingsbury
2016	J	`jnl`	A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. CoRR Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016	Misc	`conf`	A comparison between deep neural nets and kernel acoustic models for speech recognition. ICASSP Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016	Misc	`conf`	Compact kernel models for acoustic modeling via random feature selection. ICASSP Avner May, Michael Collins, Daniel J. Hsu, Brian Kingsbury
2016	Misc	`conf`	Efficient one-vs-one kernel ridge regression for speech recognition. ICASSP Jie Chen, Lingfei Wu, Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran
2016	A	`conf`	Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling. INTERSPEECH Gakuto Kurata, Brian Kingsbury
2016	A	`conf`	Multilingual Data Selection for Low Resource Speech Recognition. INTERSPEECH Samuel Thomas, Kartik Audhkhasi, Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran
2016	Misc	`conf`	Very deep multilingual convolutional neural networks for LVCSR. ICASSP Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun
2015	A	`conf`	A multi-region deep neural network model in speech recognition. INTERSPEECH Jia Cui, George Saon, Bhuvana Ramabhadran, Brian Kingsbury
2015	J	`jnl`	Data Augmentation for Deep Neural Network Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
2015	Misc	`conf`	Data augmentation for deep convolutional neural network acoustic modeling. ICASSP Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
2015	J	`jnl`	Deep Convolutional Neural Networks for Large-scale Speech Tasks. Neural Networks Tara N. Sainath, Brian Kingsbury, George Saon, Hagen Soltau, Abdel-rahman Mohamed, George E. Dahl, Bhuvana Ramabhadran
2015	C	`conf`	Multilingual representations for low resource speech recognition and keyword search. ASRU Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, Abhinav Sethy, Kartik Audhkhasi, Xiaodong Cui, Ellen Kislal, Lidia Mangu, Markus Nußbaum-Thom, Michael Picheny, Zoltán Tüske, Pavel Golik, Ralf Schlüter, Hermann Ney, Mark J. F. Gales, Kate M. Knill, Anton Ragni, Haipeng Wang, Philip C. Woodland
2015	Misc	`conf`	Order-free spoken term detection. ICASSP Lidia Mangu, George Saon, Michael Picheny, Brian Kingsbury
2015	J	`jnl`	Very Deep Multilingual Convolutional Neural Networks for LVCSR. CoRR Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun
2014	—	`ch.`	Automatic Speech Recognition. NLP of Semitic Languages Hagen Soltau, George Saon, Lidia Mangu, Hong-Kwang Kuo, Brian Kingsbury, Stephen M. Chu, Fadi Biadsy
2014	Misc	`conf`	Automatic keyword selection for keyword search development and tuning. ICASSP Jia Cui, Jonathan Mamou, Brian Kingsbury, Bhuvana Ramabhadran
2014	Misc	`conf`	Data Augmentation for deep neural network acoustic modeling. ICASSP Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
2014	A	`conf`	Deep scattering spectra with deep neural networks for LVCSR tasks. INTERSPEECH Tara N. Sainath, Vijayaditya Peddinti, Brian Kingsbury, Petr Fousek, Bhuvana Ramabhadran, David Nahamoo
2014	Misc	`conf`	Efficient spoken term detection using confusion networks. ICASSP Lidia Mangu, Brian Kingsbury, Hagen Soltau, Hong-Kwang Kuo, Michael Picheny
2014	J	`jnl`	How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. CoRR Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2014	Misc	`conf`	Improvements to filterbank and delta learning within a deep neural network framework. ICASSP Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George Saon, Bhuvana Ramabhadran
2014	A	`conf`	Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program. INTERSPEECH Xiaodong Cui, Brian Kingsbury, Jia Cui, Bhuvana Ramabhadran, Andrew Rosenberg, Mohammad Sadegh Rasooli, Owen Rambow, Nizar Habash, Vaibhava Goel
2014	A	`conf`	Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. SC I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Vernon Austel, Upendra V. Chaudhari, Brian Kingsbury
2014	A	`conf`	Parallel deep neural network training for LVCSR tasks using blue gene/Q. INTERSPEECH Tara N. Sainath, I-Hsin Chung, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Brian Kingsbury, George Saon, Vernon Austel, Upendra V. Chaudhari
2014	A	`conf`	Recent improvements in neural network acoustic modeling for LVCSR in low resource languages. INTERSPEECH Jia Cui, Bhuvana Ramabhadran, Xiaodong Cui, Andrew Rosenberg, Brian Kingsbury, Abhinav Sethy
2013	Misc	`conf`	A high-performance Cantonese keyword search system. ICASSP Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Kate M. Knill, Jonathan Mamou, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy, Philip C. Woodland
2013	C	`conf`	Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling. ASRU Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
2013	C	`conf`	An empirical study of confusion modeling in keyword search for low resource languages. ASRU Murat Saraclar, Abhinav Sethy, Bhuvana Ramabhadran, Lidia Mangu, Jia Cui, Xiaodong Cui, Brian Kingsbury, Jonathan Mamou
2013	Misc	`conf`	Audio-visual deep learning for noise robust speech recognition. ICASSP Jing Huang, Brian Kingsbury
2013	Misc	`conf`	Deep convolutional neural networks for LVCSR. ICASSP Tara N. Sainath, Abdel-rahman Mohamed, Brian Kingsbury, Bhuvana Ramabhadran
2013	Misc	`conf`	Developing speech recognition systems for corpus indexing under the IARPA Babel program. ICASSP Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Janice Kim, Brian Kingsbury, Jonathan Mamou, Lidia Mangu, Michael Picheny, Tara N. Sainath, Abhinav Sethy
2013	Misc	`conf`	Exploiting diversity for spoken term detection. ICASSP Lidia Mangu, Hagen Soltau, Hong-Kwang Kuo, Brian Kingsbury, George Saon
2013	C	`conf`	Improvements to Deep Convolutional Neural Networks for LVCSR. ASRU Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomás Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
2013	J	`jnl`	Improvements to deep convolutional neural networks for LVCSR. CoRR Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomás Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
2013	J	`jnl`	Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling. CoRR Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
2013	C	`conf`	Learning filter banks within a deep neural network framework. ASRU Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, Bhuvana Ramabhadran
2013	Misc	`conf`	Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets. ICASSP Tara N. Sainath, Brian Kingsbury, Vikas Sindhwani, Ebru Arisoy, Bhuvana Ramabhadran
2013	A	`conf`	Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition. INTERSPEECH Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
2013	Misc	`conf`	New types of deep neural network learning for speech recognition and related applications: an overview. ICASSP Li Deng, Geoffrey E. Hinton, Brian Kingsbury
2013	J	`jnl`	Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks. IEEE Trans. Speech Audio Process. Tara N. Sainath, Brian Kingsbury, Hagen Soltau, Bhuvana Ramabhadran
2013	Misc	`conf`	System combination and score normalization for spoken term detection. ICASSP Jonathan Mamou, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Brian Kingsbury, Kate M. Knill, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy, Philip C. Woodland
2013	A	`conf`	The IBM speech activity detection system for the DARPA RATS program. INTERSPEECH George Saon, Samuel Thomas, Hagen Soltau, Sriram Ganapathy, Brian Kingsbury
2012	Misc	`conf`	Auto-encoder bottleneck features using deep belief networks. ICASSP Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran
2012	—	`conf`	Deep Neural Network Language Models. WLM@NAACL-HLT Ebru Arisoy, Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran
2012	A	`conf`	Discriminative feature-space transforms using deep neural networks. INTERSPEECH George Saon, Brian Kingsbury
2012	A	`conf`	Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization. INTERSPEECH Brian Kingsbury, Tara N. Sainath, Hagen Soltau
2011	Misc	`conf`	Arccosine kernels: Acoustic modeling with infinite neural networks. ICASSP Chih-Chieh Cheng, Brian Kingsbury
2011	J	`jnl`	Artificial intelligence research at IBM. IBM J. Res. Dev. James Fan, Michael Campbell, Brian Kingsbury
2011	C	`conf`	Making Deep Belief Networks effective for large vocabulary continuous speech recognition. ASRU Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, Petr Fousek, Petr Novák, Abdel-rahman Mohamed
2011	Misc	`conf`	The IBM 2009 GALE Arabic speech transcription system. ICASSP Brian Kingsbury, Hagen Soltau, George Saon, Stephen M. Chu, Hong-Kwang Kuo, Lidia Mangu, Suman V. Ravuri, Nelson Morgan, Adam Janin
2011	C	`conf`	The IBM 2011 GALE Arabic speech transcription system. ASRU Lidia Mangu, Hong-Kwang Kuo, Stephen M. Chu, Brian Kingsbury, George Saon, Hagen Soltau, Fadi Biadsy
2011	J	`jnl`	Trends and advances in speech recognition. IBM J. Res. Dev. Michael Picheny, David Nahamoo, Vaibhava Goel, Brian Kingsbury, Bhuvana Ramabhadran, Steven J. Rennie, George Saon
2010	—	`conf`	Rapid and inexpensive development of speech action classifiers for natural language call routing systems. SLT Ea-Ee Jan, Brian Kingsbury
2010	Misc	`conf`	The IBM 2008 GALE Arabic speech transcription system. ICASSP George Saon, Hagen Soltau, Upendra V. Chaudhari, Stephen M. Chu, Brian Kingsbury, Hong-Kwang Kuo, Lidia Mangu, Daniel Povey
2010	—	`conf`	The IBM Attila speech recognition toolkit. SLT Hagen Soltau, George Saon, Brian Kingsbury
2009	J	`jnl`	Advances in Arabic Speech Transcription at IBM Under the DARPA GALE Program. IEEE Trans. Speech Audio Process. Hagen Soltau, George Saon, Brian Kingsbury, Hong-Kwang Jeff Kuo, Lidia Mangu, Daniel Povey, Ahmad Emami
2009	—	`conf`	Fast decoding for open vocabulary spoken term detection. HLT-NAACL (Short Papers) Bhuvana Ramabhadran, Abhinav Sethy, Jonathan Mamou, Brian Kingsbury, Upendra V. Chaudhari
2009	Misc	`conf`	Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling. ICASSP Brian Kingsbury
2009	—	`conf`	Tied-Mixture Language Modeling in Continuous Space. HLT-NAACL Ruhi Sarikaya, Mohamed Afify, Brian Kingsbury
2008	Misc	`conf`	Boosted MMI for model and feature-space discriminative training. ICASSP Daniel Povey, Dimitri Kanevsky, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Karthik Visweswariah
2008	A	`conf`	Discriminative graph training for ultra-fast low-footprint speech indexing. INTERSPEECH Upendra V. Chaudhari, Hong-Kwang Jeff Kuo, Brian Kingsbury
2008	A	`conf`	Machine translation in continuous space. INTERSPEECH Ruhi Sarikaya, Yonggang Deng, Mohamed Afify, Brian Kingsbury, Yuqing Gao
2008	A	`conf`	Monte Carlo model-space noise adaptation for speech recognition. INTERSPEECH Daniel Povey, Brian Kingsbury
2007	—	`conf`	Discriminative Training of Decoding Graphs for Large Vocabulary Continuous Speech Recognition. ICASSP (4) Hong-Kwang Jeff Kuo, Brian Kingsbury, Geoffrey Zweig
2007	—	`conf`	Evaluation of Proposed Modifications to MPE for Large Scale Discriminative Training. ICASSP (4) Daniel Povey, Brian Kingsbury
2007	—	`conf`	The IBM 2006 Gale Arabic ASR System. ICASSP (4) Hagen Soltau, George Saon, Brian Kingsbury, Hong-Kwang Jeff Kuo, Lidia Mangu, Daniel Povey, Geoffrey Zweig
2006	J	`jnl`	Advances in speech transcription at IBM under the DARPA EARS program. IEEE Trans. Speech Audio Process. Stanley F. Chen, Brian Kingsbury, Lidia Mangu, Daniel Povey, George Saon, Hagen Soltau, Geoffrey Zweig
2006	—	`conf`	Automated Quality Monitoring for Call Centers using Speech and NLP Technologies. HLT-NAACL Geoffrey Zweig, Olivier Siohan, George Saon, Bhuvana Ramabhadran, Daniel Povey, Lidia Mangu, Brian Kingsbury
2006	—	`conf`	Automated Quality Monitoring in the Call Center with ASR and Maximum Entropy. ICASSP (1) Geoffrey Zweig, Olivier Siohan, George Saon, Bhuvana Ramabhadran, Daniel Povey, Lidia Mangu, Brian Kingsbury
2006	J	`jnl`	Pseudo pitch synchronous analysis of speech with applications to speaker recognition. IEEE Trans. Speech Audio Process. Ran D. Zilca, Brian Kingsbury, Jirí Navrátil, Ganesh N. Ramaswamy
2005	—	`conf`	Contructing Ensembles of ASR Systems Using Randomized Decision Trees. ICASSP (1) Olivier Siohan, Bhuvana Ramabhadran, Brian Kingsbury
2005	—	`conf`	The IBM 2004 Conversational Telephony System for Rich Transcription. ICASSP (1) Hagen Soltau, Brian Kingsbury, Lidia Mangu, Daniel Povey, George Saon, Geoffrey Zweig
2005	—	`conf`	fMPE: Discriminatively Trained Features for Speech Recognition. ICASSP (1) Daniel Povey, Brian Kingsbury, Lidia Mangu, George Saon, Hagen Soltau, Geoffrey Zweig
2004	—	`conf`	An evaluation of a nonlinear feature transformation for conversational speech recognition. ICASSP (1) Mohamed K. Omar, Brian Kingsbury
2003	A	`conf`	An architecture for rapid decoding of large vocabulary conversational speech. INTERSPEECH George Saon, Geoffrey Zweig, Brian Kingsbury, Lidia Mangu, Upendra V. Chaudhari
2003	A	`conf`	Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices. INTERSPEECH Scott Axelrod, Vaibhava Goel, Brian Kingsbury, Karthik Visweswariah, Ramesh A. Gopinath
2003	A	`conf`	Toward domain-independent conversational speech recognition. INTERSPEECH Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, Michael Picheny
2002	A	`conf`	A hybrid HMM/traps model for robust voice activity detection. INTERSPEECH Brian Kingsbury, Pratibha Jain, André Gustavo Adami
2002	J	`jnl`	Automatic speech recognition performance on a voicemail transcription task. IEEE Trans. Speech Audio Process. Mukund Padmanabhan, George Saon, Jing Huang, Brian Kingsbury, Lidia Mangu
2002	A	`conf`	Distributed speech recognition using noise-robust MFCC and traps-estimated manner features. INTERSPEECH Pratibha Jain, Hynek Hermansky, Brian Kingsbury
2002	A	`conf`	Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model. INTERSPEECH Jing Huang, Vaibhava Goel, Ramesh Gopinath, Brian Kingsbury, Peder A. Olsen, Karthik Visweswariah
2002	Misc	`conf`	Robust speech recognition in Noisy Environments: The 2001 IBM spine evaluation system. ICASSP Brian Kingsbury, George Saon, Lidia Mangu, Mukund Padmanabhan, Ruhi Sarikaya
2000	A	`conf`	Recent improvements in speech recognition performance on large vocabulary conversational speech (voicemail and switchboard). INTERSPEECH Jing Huang, Brian Kingsbury, Lidia Mangu, Mukund Padmanabhan, George Saon, Geoffrey Zweig
1998	Misc	`conf`	Incorporating information from syllable-length time scales into automatic speech recognition. ICASSP Su-Lin Wu, Brian Kingsbury, Nelson Morgan, Steven Greenberg
1998	—	`conf`	Performance improvements through combining phone- and syllable-scale information in automatic speech recognition. ICSLP Su-Lin Wu, Brian Kingsbury, Nelson Morgan, Steven Greenberg
1998	J	`jnl`	Robust speech recognition using the modulation spectrogram. Speech Commun. Brian Kingsbury, Nelson Morgan, Steven Greenberg
1997	Misc	`conf`	Recognizing reverberant speech with RASTA-PLP. ICASSP Brian Kingsbury, Nelson Morgan
1997	Misc	`conf`	The modulation spectrogram: in pursuit of an invariant representation of speech. ICASSP Steven Greenberg, Brian Kingsbury
1996	J	`jnl`	Spert-II: A Vector Microprocessor System. Computer John Wawrzynek, Krste Asanovic, Brian Kingsbury, David Johnson, James Beck, Nelson Morgan
1995	—	`conf`	SPERT-II: A Vector Microprocessor System and its Application to Large Problems in Backpropagation Training. NIPS John Wawrzynek, Krste Asanovic, Brian Kingsbury, James Beck, David Johnson, Nelson Morgan
1992	—	`conf`	SPERT: a VLIW/SIMD microprocessor for artificial neural network computations. ASAP Krste Asanovic, James Beck, Brian Kingsbury, Phil Kohn, Nelson Morgan, John Wawrzynek