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2020 – today
- 2023
[i38]Shehzeen Hussain, Paarth Neekhara, Jocelyn Huang, Jason Li, Boris Ginsburg:
ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations. CoRR abs/2302.08137 (2023)- [i37]Vladimir Bataev, Roman Korostik, Evgeny Shabalin, Vitaly Lavrukhin, Boris Ginsburg:
Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator. CoRR abs/2302.14036 (2023) - [i36]Rohan Badlani, Akshit Arora, Subhankar Ghosh, Rafael Valle, Kevin J. Shih, João Felipe Santos, Boris Ginsburg, Bryan Catanzaro:
VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation. CoRR abs/2303.07578 (2023) - [i35]Aleksandr Laptev, Vladimir Bataev, Igor Gitman, Boris Ginsburg:
Powerful and Extensible WFST Framework for RNN-Transducer Losses. CoRR abs/2303.10384 (2023) - 2022
- [c27]Oktai Tatanov, Stanislav Beliaev, Boris Ginsburg:
Mixer-TTS: Non-Autoregressive, Fast and Compact Text-to-Speech Model Conditioned on Language Model Embeddings. ICASSP 2022: 7482-7486 - [c26]Nithin Rao Koluguri, Taejin Park, Boris Ginsburg:
TitaNet: Neural Model for Speaker Representation with 1D Depth-Wise Separable Convolutions and Global Context. ICASSP 2022: 8102-8106 - [c25]Evelina Bakhturina, Yang Zhang, Boris Ginsburg:
Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization. INTERSPEECH 2022: 491-495 - [c24]Alexandra Antonova, Evelina Bakhturina, Boris Ginsburg:
Thutmose Tagger: Single-pass neural model for Inverse Text Normalization. INTERSPEECH 2022: 550-554 - [c23]Taejin Park, Nithin Rao Koluguri, Fei Jia, Jagadeesh Balam, Boris Ginsburg:
NeMo Open Source Speaker Diarization System. INTERSPEECH 2022: 853-854 - [c22]Aleksandr Laptev, Somshubra Majumdar, Boris Ginsburg:
CTC Variations Through New WFST Topologies. INTERSPEECH 2022: 1041-1045 - [c21]Taejin Park, Nithin Rao Koluguri, Jagadeesh Balam, Boris Ginsburg:
Multi-scale Speaker Diarization with Dynamic Scale Weighting. INTERSPEECH 2022: 5080-5084 - [c20]Somshubra Majumdar, Shantanu Acharya, Vitaly Lavrukhin, Boris Ginsburg:
Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition. SLT 2022: 130-135 - [c19]Aleksandr Laptev, Boris Ginsburg:
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-to-End Automatic Speech Recognition. SLT 2022: 152-159 - [i34]Evelina Bakhturina, Yang Zhang, Boris Ginsburg:
Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization. CoRR abs/2203.15917 (2022) - [i33]Taejin Park, Nithin Rao Koluguri, Jagadeesh Balam, Boris Ginsburg:
Multi-scale Speaker Diarization with Dynamic Scale Weighting. CoRR abs/2203.15974 (2022) - [i32]Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon:
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. CoRR abs/2206.04658 (2022) - [i31]Alexandra Antonova, Evelina Bakhturina, Boris Ginsburg:
Thutmose Tagger: Single-pass neural model for Inverse Text Normalization. CoRR abs/2208.00064 (2022) - [i30]Somshubra Majumdar, Shantanu Acharya, Vitaly Lavrukhin, Boris Ginsburg:
Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition. CoRR abs/2210.03255 (2022) - [i29]Fei Jia, Nithin Rao Koluguri, Jagadeesh Balam, Boris Ginsburg:
AmberNet: A Compact End-to-End Model for Spoken Language Identification. CoRR abs/2210.15781 (2022) - [i28]Cheng-Ping Hsieh, Subhankar Ghosh, Boris Ginsburg:
Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers. CoRR abs/2211.00585 (2022) - [i27]Hainan Xu, Fei Jia, Somshubra Majumdar, Shinji Watanabe
, Boris Ginsburg:
Multi-blank Transducers for Speech Recognition. CoRR abs/2211.03541 (2022) - [i26]Travis M. Bartley, Fei Jia, Krishna C. Puvvada, Samuel Kriman, Boris Ginsburg:
Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models. CoRR abs/2211.05103 (2022) - [i25]Aleksandr Laptev, Boris Ginsburg:
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-To-End Automatic Speech Recognition. CoRR abs/2212.08703 (2022) - 2021
- [j2]Maria Korshunova, Boris Ginsburg, Alexander Tropsha, Olexandr Isayev:
OpenChem: A Deep Learning Toolkit for Computational Chemistry and Drug Design. J. Chem. Inf. Model. 61(1): 7-13 (2021) - [c18]Fei Jia, Somshubra Majumdar, Boris Ginsburg:
MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection. ICASSP 2021: 6818-6822 - [c17]Jian Luo, Jianzong Wang, Ning Cheng, Edward Xiao, Jing Xiao, Georg Kucsko, Patrick K. O'Neill, Jagadeesh Balam, Slyne Deng, Adriana Flores, Boris Ginsburg, Jocelyn Huang, Oleksii Kuchaiev, Vitaly Lavrukhin, Jason Li:
Cross-Language Transfer Learning and Domain Adaptation for End-to-End Automatic Speech Recognition. ICME 2021: 1-6 - [c16]Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko:
SPGISpeech: 5, 000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition. Interspeech 2021: 1434-1438 - [c15]Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg, Yang Zhang:
Hi-Fi Multi-Speaker English TTS Dataset. Interspeech 2021: 2776-2780 - [c14]Stanislav Beliaev, Boris Ginsburg:
TalkNet: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis. Interspeech 2021: 3760-3764 - [c13]Yang Zhang, Evelina Bakhturina, Kyle Gorman, Boris Ginsburg:
NeMo Inverse Text Normalization: From Development to Production. Interspeech 2021: 4468-4472 - [c12]Yang Zhang, Evelina Bakhturina, Boris Ginsburg:
NeMo (Inverse) Text Normalization: From Development to Production. Interspeech 2021: 4857-4859 - [c11]Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg:
A Toolbox for Construction and Analysis of Speech Datasets. NeurIPS Datasets and Benchmarks 2021 - [i24]Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko:
SPGISpeech: 5, 000 hours of transcribed financial audio for fully formatted end-to-end speech recognition. CoRR abs/2104.02014 (2021) - [i23]Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg:
NeMo Toolbox for Speech Dataset Construction. CoRR abs/2104.04896 (2021) - [i22]Yang Zhang, Evelina Bakhturina, Kyle Gorman, Boris Ginsburg:
NeMo Inverse Text Normalization: From Development To Production. CoRR abs/2104.05055 (2021) - [i21]Stanislav Beliaev, Boris Ginsburg:
TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction. CoRR abs/2104.08189 (2021) - [i20]Yang Zhang, Vahid Noroozi, Evelina Bakhturina, Boris Ginsburg:
SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services. CoRR abs/2105.08049 (2021) - [i19]Aleksei Kalinov, Somshubra Majumdar, Jagadeesh Balam, Boris Ginsburg:
CarneliNet: Neural Mixture Model for Automatic Speech Recognition. CoRR abs/2107.10708 (2021) - [i18]Tuan Manh Lai, Yang Zhang, Evelina Bakhturina, Boris Ginsburg, Heng Ji:
A Unified Transformer-based Framework for Duplex Text Normalization. CoRR abs/2108.09889 (2021) - [i17]Aleksandr Laptev, Somshubra Majumdar, Boris Ginsburg:
CTC Variations Through New WFST Topologies. CoRR abs/2110.03098 (2021) - [i16]Nithin Rao Koluguri, Taejin Park, Boris Ginsburg:
TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context. CoRR abs/2110.04410 (2021) - [i15]Paarth Neekhara, Jason Li, Boris Ginsburg:
Adapting TTS models For New Speakers using Transfer Learning. CoRR abs/2110.05798 (2021) - 2020
- [c10]Samuel Kriman, Stanislav Beliaev, Boris Ginsburg, Jocelyn Huang, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Yang Zhang:
Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions. ICASSP 2020: 6124-6128 - [c9]Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg:
Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model. ICASSP 2020: 7074-7078 - [c8]Somshubra Majumdar, Boris Ginsburg:
MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition. INTERSPEECH 2020: 3356-3360 - [i14]Boris Ginsburg:
On regularization of gradient descent, layer imbalance and flat minima. CoRR abs/2007.09286 (2020) - [i13]Fei Jia, Somshubra Majumdar, Boris Ginsburg:
MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection. CoRR abs/2010.13886 (2020)
2010 – 2019
- 2019
- [c7]Jason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde:
Jasper: An End-to-End Convolutional Neural Acoustic Model. INTERSPEECH 2019: 71-75 - [i12]Jason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde:
Jasper: An End-to-End Convolutional Neural Acoustic Model. CoRR abs/1904.03288 (2019) - [i11]Boris Ginsburg, Patrice Castonguay, Oleksii Hrinchuk, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Huyen Nguyen, Jonathan M. Cohen:
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks. CoRR abs/1905.11286 (2019) - [i10]Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M. Cohen:
NeMo: a toolkit for building AI applications using Neural Modules. CoRR abs/1909.09577 (2019) - [i9]Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg:
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model. CoRR abs/1910.10697 (2019) - 2018
- [j1]Anastasia Dubrovina, Pavel Kisilev, Boris Ginsburg, Sharbell Y. Hashoul, Ron Kimmel:
Computational mammography using deep neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 243-247 (2018) - [c6]Peter H. Jin, Boris Ginsburg, Kurt Keutzer:
Spatially Parallel Convolutions. ICLR (Workshop) 2018 - [c5]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. ICLR (Poster) 2018 - [i8]Oleksii Kuchaiev, Boris Ginsburg, Igor Gitman, Vitaly Lavrukhin, Carl Case, Paulius Micikevicius:
OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models. CoRR abs/1805.10387 (2018) - [i7]Jason Li, Ravi Gadde, Boris Ginsburg, Vitaly Lavrukhin:
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation. CoRR abs/1811.00707 (2018) - 2017
- [c4]Oleksii Kuchaiev, Boris Ginsburg:
Factorization tricks for LSTM networks. ICLR (Workshop) 2017 - [c3]Kevin Vincent, Kevin Stephano, Michael A. Frumkin, Boris Ginsburg, Julien Demouth:
On Improving the Numerical Stability of Winograd Convolutions. ICLR (Workshop) 2017 - [i6]Oleksii Kuchaiev, Boris Ginsburg:
Factorization tricks for LSTM networks. CoRR abs/1703.10722 (2017) - [i5]Oleksii Kuchaiev, Boris Ginsburg:
Training Deep AutoEncoders for Collaborative Filtering. CoRR abs/1708.01715 (2017) - [i4]Yang You, Igor Gitman, Boris Ginsburg:
Scaling SGD Batch Size to 32K for ImageNet Training. CoRR abs/1708.03888 (2017) - [i3]Igor Gitman, Boris Ginsburg:
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification. CoRR abs/1709.08145 (2017) - [i2]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. CoRR abs/1710.03740 (2017) - 2016
- [c2]Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky:
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. NIPS 2016: 1534-1542 - [i1]Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky:
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. CoRR abs/1609.00629 (2016)
2000 – 2009
- 2002
- [c1]Roy Armoni, Limor Fix, Alon Flaisher, Rob Gerth, Boris Ginsburg, Tomer Kanza, Avner Landver, Sela Mador-Haim, Eli Singerman, Andreas Tiemeyer, Moshe Y. Vardi, Yael Zbar:
The ForSpec Temporal Logic: A New Temporal Property-Specification Language. TACAS 2002: 296-211
Coauthor Index
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last updated on 2023-03-24 00:35 CET by the dblp team
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