Kingsbury, Brian

Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups

Hinton, G., Deng, L., Yu, D., Dahl, G., Mohamed, A.-R., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T., et al. (2012) · IEEE Signal Processing Magazine

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 10,260

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

Sainath, T. N., Kingsbury, B., Sindhwani, V., Arisoy, E., & Ramabhadran, B. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing

Speech Recognition and SynthesisAdvanced Neural Network Applications

Cited by 593

Data Augmentation for Deep Neural Network Acoustic Modeling

Cui, X., Goel, V., & Kingsbury, B. (2015) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 376

On the Limit of English Conversational Speech Recognition

Tüske, Z., Saon, G., & Kingsbury, B. (2021) · Interspeech 2021

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 41

Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization

Fasoli, A., Chen, C.-Y., Serrano, M., Venkataramani, S., Saon, G., Cui, X., Kingsbury, B., & Gopalakrishnan, K. (2022) · Interspeech 2022

Speech Recognition and SynthesisAdvanced Neural Network Applications

Cited by 5