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Viewing Publication 1 - 100 from 248

2023

Crosslingual Handwritten Text Generation Using GANsChun-Chieh Chang, Leibny Paola García-Perera, Sanjeev Khudanpur. icdar 2023: 285-301 [doi]

Learning From Flawed Data: Weakly Supervised Automatic Speech RecognitionDongji Gao, Hainan Xu, Desh Raj, Leibny Paola García-Perera, Daniel Povey, Sanjeev Khudanpur. asru 2023: 1-8 [doi]

Euro: Espnet Unsupervised ASR Open-Source ToolkitDongji Gao, Jiatong Shi, Shun-Po Chuang, Leibny Paola García, Hung-yi Lee, Shinji Watanabe 0001, Sanjeev Khudanpur. icassp 2023: 1-5 [doi]

Adapting Self-Supervised Models to Multi-Talker Speech Recognition Using Speaker EmbeddingsZili Huang, Desh Raj, Paola García 0001, Sanjeev Khudanpur. icassp 2023: 1-5 [doi]

Building Keyword Search System from End-To-End Asr SystemsRuizhe Huang, Matthew Wiesner, Leibny Paola García-Perera, Daniel Povey, Jan Trmal, Sanjeev Khudanpur. icassp 2023: 1-5 [doi]

JHU IWSLT 2023 Dialect Speech Translation System DescriptionAmir Hussein, Cihan Xiao, Neha Verma, Thomas Thebaud, Matthew Wiesner, Sanjeev Khudanpur. iwslt 2023: 283-290 [doi]

Reducing Language Confusion for Code-Switching Speech Recognition with Token-Level Language DiarizationHexin Liu, Haihua Xu, Leibny Paola García, Andy W. H. Khong, Yi He, Sanjeev Khudanpur. icassp 2023: 1-5 [doi]

A dilemma of ground truth in noisy speech separation and an approach to lessen the impact of imperfect training dataMatthew Maciejewski, Jing Shi 0003, Shinji Watanabe 0001, Sanjeev Khudanpur. csl, 77:101410, 2023. [doi]

SURT 2.0: Advances in Transducer-Based Multi-Talker Speech RecognitionDesh Raj, Daniel Povey, Sanjeev Khudanpur. taslp, 31:3800-3813, 2023. [doi]

Joint Energy-Based Model for Robust Speech Classification System Against Dirty-Label Backdoor Poisoning AttacksMartin Sustek, Sonal Joshi, Henry Li, Thomas Thebaud, Jesús Villalba 0001, Sanjeev Khudanpur, Najim Dehak. asru 2023: 1-8 [doi]

Clustering Unsupervised Representations as Defense Against Poisoning Attacks on Speech Commands Classification SystemThomas Thebaud, Sonal Joshi, Henry Li, Martin Sustek, Jesús Villalba 0001, Sanjeev Khudanpur, Najim Dehak. asru 2023: 1-8 [doi]

JHU IWSLT 2023 Multilingual Speech Translation System DescriptionHenry Li Xinyuan, Neha Verma, Bismarck Bamfo Odoom, Ujvala Pradeep, Matthew Wiesner, Sanjeev Khudanpur. iwslt 2023: 302-310 [doi]

2022

Investigating Self-Supervised Learning for Speech Enhancement and SeparationZili Huang, Shinji Watanabe 0001, Shu-Wen Yang, Paola García, Sanjeev Khudanpur. icassp 2022: 6837-6841 [doi]

Joint speaker diarization and speech recognition based on region proposal networksZili Huang, Marc Delcroix, Leibny Paola García-Perera, Shinji Watanabe 0001, Desh Raj, Sanjeev Khudanpur. csl, 72:101316, 2022. [doi]

Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with DenoiserSonal Joshi, Saurabh Kataria, Yiwen Shao, Piotr Zelasko, Jesús Villalba, Sanjeev Khudanpur, Najim Dehak. interspeech 2022: 5035-5039 [doi]

PHO-LID: A Unified Model Incorporating Acoustic-Phonetic and Phonotactic Information for Language IdentificationHexin Liu, Leibny Paola García-Perera, Andy W. H. Khong, Suzy J. Styles, Sanjeev Khudanpur. interspeech 2022: 2233-2237 [doi]

Efficient Self-Supervised Learning Representations for Spoken Language IdentificationHexin Liu, Leibny Paola García-Perera, Andy W. H. Khong, Eng Siong Chng, Suzy J. Styles, Sanjeev Khudanpur. jstsp, 16(6):1296-1307, 2022. [doi]

Enhancing Language Identification Using Dual-Mode Model with Knowledge DistillationHexin Liu, Leibny Paola García-Perera, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles, Sanjeev Khudanpur. odyssey 2022: 248-254 [doi]

Chunking Defense for Adversarial Attacks on ASRYiwen Shao, Jesús Villalba, Sonal Joshi, Saurabh Kataria, Sanjeev Khudanpur, Najim Dehak. interspeech 2022: 5045-5049 [doi]

Characterizing the Details of Spatial Construction: Cognitive Constraints and VariabilityAmy Lynne Shelton, E. Emory Davis, Cathryn S. Cortesa, Jonathan D. Jones, Gregory D. Hager, Sanjeev Khudanpur, Barbara Landau. cogsci, 46(1), 2022. [doi]

Injecting Text and Cross-Lingual Supervision in Few-Shot Learning from Self-Supervised ModelsMatthew Wiesner, Desh Raj, Sanjeev Khudanpur. icassp 2022: 8597-8601 [doi]

JHU IWSLT 2022 Dialect Speech Translation System DescriptionJinyi Yang, Amir Hussein, Matthew Wiesner, Sanjeev Khudanpur. iwslt 2022: 319-326 [doi]

2021

An Asynchronous WFST-Based Decoder for Automatic Speech RecognitionHang Lv 0001, Zhehuai Chen, Hainan Xu, Daniel Povey, Lei Xie 0001, Sanjeev Khudanpur. icassp 2021: 6019-6023 [doi]

LET-Decoder: A WFST-Based Lazy-Evaluation Token-Group Decoder With Exact Lattice GenerationHang Lv 0001, Daniel Povey, Mahsa Yarmohammadi, Ke Li, Yiming Wang, Lei Xie 0001, Sanjeev Khudanpur. spl, 28:703-707, 2021. [doi]

Fine-Grained Activity Recognition for Assembly VideosJonathan D. Jones, Cathryn S. Cortesa, Amy L. Shelton, Barbara Landau, Sanjeev Khudanpur, Gregory D. Hager. ral, 6(2):3728-3735, 2021. [doi]

Learning Feature Weights using Reward Modeling for Denoising Parallel CorporaGaurav Kumar, Philipp Koehn, Sanjeev Khudanpur. wmt 2021: 1100-1109 [doi]

Learning Curricula for Multilingual Neural Machine Translation TrainingGaurav Kumar, Philipp Koehn, Sanjeev Khudanpur. mtsummit 2021: 1-9 [doi]

A Parallelizable Lattice Rescoring Strategy with Neural Language ModelsKe Li, Daniel Povey, Sanjeev Khudanpur. icassp 2021: 6518-6522 [doi]

End-to-End Language Diarization for Bilingual Code-Switching SpeechHexin Liu, Leibny Paola García-Perera, Xinyi Zhang, Justin Dauwels, Andy W. H. Khong, Sanjeev Khudanpur, Suzy J. Styles. interspeech 2021: 1489-1493 [doi]

Training Noisy Single-Channel Speech Separation with Noisy Oracle Sources: A Large Gap and a Small StepMatthew Maciejewski, Jing Shi 0003, Shinji Watanabe, Sanjeev Khudanpur. icassp 2021: 5774-5778 [doi]

Speaker Verification-Based Evaluation of Single-Channel Speech SeparationMatthew Maciejewski, Shinji Watanabe 0001, Sanjeev Khudanpur. interspeech 2021: 3520-3524 [doi]

Multi-Class Spectral Clustering with Overlaps for Speaker DiarizationDesh Raj, Zili Huang, Sanjeev Khudanpur. slt 2021: 582-589 [doi]

Reformulating DOVER-Lap Label Mapping as a Graph Partitioning ProblemDesh Raj, Sanjeev Khudanpur. interspeech 2021: 2351-2355 [doi]

DOVER-Lap: A Method for Combining Overlap-Aware Diarization OutputsDesh Raj, Leibny Paola García-Perera, Zili Huang, Shinji Watanabe 0001, Daniel Povey, Andreas Stolcke, Sanjeev Khudanpur. slt 2021: 881-888 [doi]

Wake Word Detection with Streaming TransformersYiming Wang, Hang Lv 0001, Daniel Povey, Lei Xie 0001, Sanjeev Khudanpur. icassp 2021: 5864-5868 [doi]

Training Hybrid Models on Noisy Transliterated Transcripts for Code-Switched Speech RecognitionMatthew Wiesner, Mousmita Sarma, Ashish Arora, Desh Raj, Dongji Gao, Ruizhe Huang, Supreet Preet, Moris Johnson, Zikra Iqbal, Nagendra Goel, Jan Trmal, Leibny Paola García-Perera, Sanjeev Khudanpur. interspeech 2021: 2906-2910 [doi]

2020

Sample Selection for Large-scale MT Discriminative TrainingYuan Cao 0007, Sanjeev Khudanpur. amta 2012: [doi]

An Alternative to MFCCs for ASRPegah Ghahramani, Hossein Hadian, Daniel Povey, Hynek Hermansky, Sanjeev Khudanpur. interspeech 2020: 1664-1667 [doi]

Speaker Diarization with Region Proposal NetworkZili Huang, Shinji Watanabe, Yusuke Fujita, Paola García, Yiwen Shao, Daniel Povey, Sanjeev Khudanpur. icassp 2020: 6514-6518 [doi]

Efficient MDI Adaptation for n-Gram Language ModelsRuizhe Huang, Ke Li, Ashish Arora, Daniel Povey, Sanjeev Khudanpur. interspeech 2020: 4916-4920 [doi]

Neural Language Modeling with Implicit Cache PointersKe Li, Daniel Povey, Sanjeev Khudanpur. interspeech 2020: 3625-3629 [doi]

An Empirical Study of Transformer-Based Neural Language Model AdaptationKe Li, Zhe Liu, Tianxing He, Hongzhao Huang, Fuchun Peng, Daniel Povey, Sanjeev Khudanpur. icassp 2020: 7934-7938 [doi]

PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASRYiwen Shao, Yiming Wang, Daniel Povey, Sanjeev Khudanpur. interspeech 2020: 561-565 [doi]

Wake Word Detection with Alignment-Free Lattice-Free MMIYiming Wang, Hang Lv 0001, Daniel Povey, Lei Xie 0001, Sanjeev Khudanpur. interspeech 2020: 4258-4262 [doi]

OOV Recovery with Efficient 2nd Pass Decoding and Open-vocabulary Word-level RNNLM Rescoring for Hybrid ASRXiaohui Zhang, Daniel Povey, Sanjeev Khudanpur. icassp 2020: 6334-6338 [doi]

2019

Using ASR Methods for OCRAshish Arora, Paola Garcia, Shinji Watanabe, Vimal Manohar, Yiwen Shao, Sanjeev Khudanpur, Chun-Chieh Chang, Babak Rekabdar, Bagher BabaAli, Daniel Povey, David Etter, Desh Raj, Hossein Hadian, Jan Trmal. icdar 2019: 663-668 [doi]

Bottom-Up Unsupervised Word Discovery via Acoustic UnitsSaurabhchand Bhati, Chunxi Liu, Jesús Villalba, Jan Trmal, Sanjeev Khudanpur, Najim Dehak. globalsip 2019: 1-5 [doi]

Optical Character Recognition with Chinese and Korean Character DecompositionChun-Chieh Chang, Ashish Arora, Leibny Paola García-Perera, David Etter, Daniel Povey, Sanjeev Khudanpur. icdar 2019: 134-139 [doi]

Incremental Lattice Determinization for WFST DecodersZhehuai Chen, Mahsa Yarmohammadi, Hainan Xu, Hang Lv 0001, Lei Xie 0001, Daniel Povey, Sanjeev Khudanpur. asru 2019: 1-7 [doi]

x-Vector DNN Refinement with Full-Length Recordings for Speaker RecognitionDaniel Garcia-Romero, David Snyder, Gregory Sell, Alan McCree, Daniel Povey, Sanjeev Khudanpur. interspeech 2019: 1493-1496 [doi]

Speaker Recognition Benchmark Using the CHiME-5 CorpusDaniel Garcia-Romero, David Snyder, Shinji Watanabe, Gregory Sell, Alan McCree, Daniel Povey, Sanjeev Khudanpur. interspeech 2019: 1506-1510 [doi]

Toward Computer Vision Systems That Understand Real-World Assembly ProcessesJonathan D. Jones, Gregory D. Hager, Sanjeev Khudanpur. wacv 2019: 426-434 [doi]

Analysis of Robustness of Deep Single-Channel Speech Separation Using Corpora Constructed From Multiple DomainsMatthew Maciejewski, Gregory Sell, Yusuke Fujita, Leibny Paola García-Perera, Shinji Watanabe, Sanjeev Khudanpur. waspaa 2019: 165-169 [doi]

Acoustic Modeling for Overlapping Speech Recognition: Jhu Chime-5 Challenge SystemVimal Manohar, Szu-Jui Chen, Zhiqi Wang, Yusuke Fujita, Shinji Watanabe, Sanjeev Khudanpur. icassp 2019: 6665-6669 [doi]

Probing the Information Encoded in X-VectorsDesh Raj, David Snyder, Daniel Povey, Sanjeev Khudanpur. asru 2019: 726-733 [doi]

Speaker Recognition for Multi-speaker Conversations Using X-vectorsDavid Snyder, Daniel Garcia-Romero, Gregory Sell, Alan McCree, Daniel Povey, Sanjeev Khudanpur. icassp 2019: 5796-5800 [doi]

The JHU Speaker Recognition System for the VOiCES 2019 ChallengeDavid Snyder, Jesús Villalba, Nanxin Chen, Daniel Povey, Gregory Sell, Najim Dehak, Sanjeev Khudanpur. interspeech 2019: 2468-2472 [doi]

State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18Jesús Villalba, Nanxin Chen, David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, Jonas Borgstrom, Fred Richardson, Suwon Shon, François Grondin, Réda Dehak, Leibny Paola García-Perera, Daniel Povey, Pedro A. Torres-Carrasquillo, Sanjeev Khudanpur, Najim Dehak. interspeech 2019: 1488-1492 [doi]

The JHU ASR System for VOiCES from a Distance Challenge 2019Yiming Wang, David Snyder, Hainan Xu, Vimal Manohar, Phani Sankar Nidadavolu, Daniel Povey, Sanjeev Khudanpur. interspeech 2019: 2488-2492 [doi]

Espresso: A Fast End-to-End Neural Speech Recognition ToolkitYiming Wang, Sanjeev Khudanpur, Tongfei Chen, Hainan Xu, Shuoyang Ding, Hang Lv 0001, Yiwen Shao, Nanyun Peng, Lei Xie 0001, Shinji Watanabe. asru 2019: 136-143 [doi]

Zero-Shot Pronunciation Lexicons for Cross-Language Acoustic Model TransferMatthew Wiesner, Oliver Adams, David Yarowsky, Jan Trmal, Sanjeev Khudanpur. asru 2019: 1048-1054 [doi]

Pretraining by Backtranslation for End-to-End ASR in Low-Resource SettingsMatthew Wiesner, Adithya Renduchintala, Shinji Watanabe, Chunxi Liu, Najim Dehak, Sanjeev Khudanpur. interspeech 2019: 4375-4379 [doi]

Advances in Automatic Speech Recognition for Child Speech Using Factored Time Delay Neural NetworkFei Wu, Leibny Paola García-Perera, Daniel Povey, Sanjeev Khudanpur. interspeech 2019: 1-5 [doi]

Multi-PLDA Diarization on Children's SpeechJiamin Xie, Leibny Paola García-Perera, Daniel Povey, Sanjeev Khudanpur. interspeech 2019: 376-380 [doi]

2018

A GPU-based WFST Decoder with Exact Lattice GenerationZhehuai Chen, Justin Luitjens, Hainan Xu, Yiming Wang, Daniel Povey, Sanjeev Khudanpur. interspeech 2018: 2212-2216 [doi]

Output-Gate Projected Gated Recurrent Unit for Speech RecognitionGaofeng Cheng, Daniel Povey, Lu Huang, Ji Xu, Sanjeev Khudanpur, Yonghong Yan 0002. interspeech 2018: 1793-1797 [doi]

Constraints and Development in Children's Block ConstructionCathryn S. Cortesa, Jonathan D. Jones, Gregory D. Hager, Sanjeev Khudanpur, Barbara Landau, Amy L. Shelton. cogsci 2018: [doi]

Acoustic Modeling from Frequency Domain Representations of SpeechPegah Ghahremani, Hossein Hadian, Hang Lv 0001, Daniel Povey, Sanjeev Khudanpur. interspeech 2018: 1596-1600 [doi]

End-to-end Deep Neural Network Age EstimationPegah Ghahremani, Phani Sankar Nidadavolu, Nanxin Chen, Jesús Villalba, Daniel Povey, Sanjeev Khudanpur, Najim Dehak. interspeech 2018: 277-281 [doi]

Improving LF-MMI Using Unconstrained Supervisions for ASRHossein Hadian, Daniel Povey, Hossein Sameti, Jan Trmal, Sanjeev Khudanpur. slt 2018: 43-47 [doi]

End-to-end Speech Recognition Using Lattice-free MMIHossein Hadian, Hossein Sameti, Daniel Povey, Sanjeev Khudanpur. interspeech 2018: 12-16 [doi]

Flat-Start Single-Stage Discriminatively Trained HMM-Based Models for ASRHossein Hadian, Hossein Sameti, Daniel Povey, Sanjeev Khudanpur. taslp, 26(11):1949-1961, 2018. [doi]

Recurrent Neural Network Language Model Adaptation for Conversational Speech RecognitionKe Li, Hainan Xu, Yiming Wang, Daniel Povey, Sanjeev Khudanpur. interspeech 2018: 3373-3377 [doi]

Low-Resource Contextual Topic Identification on SpeechChunxi Liu, Matthew Wiesner, Shinji Watanabe, Craig Harman, Jan Trmal, Najim Dehak, Sanjeev Khudanpur. slt 2018: 656-663 [doi]

Characterizing Performance of Speaker Diarization Systems on Far-Field Speech Using Standard MethodsMatthew Maciejewski, David Snyder, Vimal Manohar, Najim Dehak, Sanjeev Khudanpur. icassp 2018: 5244-5248 [doi]

A Teacher-Student Learning Approach for Unsupervised Domain Adaptation of Sequence-Trained ASR ModelsVimal Manohar, Pegah Ghahremani, Daniel Povey, Sanjeev Khudanpur. slt 2018: 250-257 [doi]

Semi-Supervised Training of Acoustic Models Using Lattice-Free MMIVimal Manohar, Hossein Hadian, Daniel Povey, Sanjeev Khudanpur. icassp 2018: 4844-4848 [doi]

Bayesian Models for Unit Discovery on a Very Low Resource LanguageLucas Ondel, Pierre Godard, Laurent Besacier, Elin Larsen, Mark Hasegawa-Johnson, Odette Scharenborg, Emmanuel Dupoux, Lukás Burget, François Yvon, Sanjeev Khudanpur. icassp 2018: 5939-5943 [doi]

Low Latency Acoustic Modeling Using Temporal Convolution and LSTMsVijayaditya Peddinti, Yiming Wang, Daniel Povey, Sanjeev Khudanpur. spl, 25(3):373-377, 2018. [doi]

A Time-Restricted Self-Attention Layer for ASRDaniel Povey, Hossein Hadian, Pegah Ghahremani, Ke Li, Sanjeev Khudanpur. icassp 2018: 5874-5878 [doi]

Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural NetworksDaniel Povey, Gaofeng Cheng, Yiming Wang, Ke Li, Hainan Xu, Mahsa Yarmohammadi, Sanjeev Khudanpur. interspeech 2018: 3743-3747 [doi]

Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD ChallengeGregory Sell, David Snyder, Alan McCree, Daniel Garcia-Romero, Jesús Villalba, Matthew Maciejewski, Vimal Manohar, Najim Dehak, Daniel Povey, Shinji Watanabe, Sanjeev Khudanpur. interspeech 2018: 2808-2812 [doi]

Spoken Language Recognition using X-vectorsDavid Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, Daniel Povey, Sanjeev Khudanpur. odyssey 2018: 105-111 [doi]

X-Vectors: Robust DNN Embeddings for Speaker RecognitionDavid Snyder, Daniel Garcia-Romero, Gregory Sell, Daniel Povey, Sanjeev Khudanpur. icassp 2018: 5329-5333 [doi]

Automatic Speech Recognition and Topic Identification from Speech for Almost-Zero-Resource LanguagesMatthew Wiesner, Chunxi Liu, Lucas Ondel, Craig Harman, Vimal Manohar, Jan Trmal, Zhongqiang Huang, Najim Dehak, Sanjeev Khudanpur. interspeech 2018: 2052-2056 [doi]

Neural Network Language Modeling with Letter-Based Features and Importance SamplingHainan Xu, Ke Li, Yiming Wang, Jian Wang, Shiyin Kang, Xie Chen, Daniel Povey, Sanjeev Khudanpur. icassp 2018: 6109-6113 [doi]

A Pruned Rnnlm Lattice-Rescoring Algorithm for Automatic Speech RecognitionHainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Nagendra Goel, Yishay Carmiel, Daniel Povey, Sanjeev Khudanpur. icassp 2018: 5929-5933 [doi]

2017

An Exploration of Dropout with LSTMsGaofeng Cheng, Vijayaditya Peddinti, Daniel Povey, Vimal Manohar, Sanjeev Khudanpur, YongHong Yan. interspeech 2017: 1586-1590 [doi]

Investigation of transfer learning for ASR using LF-MMI trained neural networksPegah Ghahremani, Vimal Manohar, Hossein Hadian, Daniel Povey, Sanjeev Khudanpur. asru 2017: 279-286 [doi]

Phone Duration Modeling for LVCSR Using Neural NetworksHossein Hadian, Daniel Povey, Hossein Sameti, Sanjeev Khudanpur. interspeech 2017: 518-522 [doi]

Topic identification of spoken documents using unsupervised acoustic unit discoverySantosh Kesiraju, Raghavendra Pappagari, Lucas Ondel, Lukás Burget, Najim Dehak, Sanjeev Khudanpur, Jan Cernocký, Suryakanth V. Gangashetty. icassp 2017: 5745-5749 [doi]

A study on data augmentation of reverberant speech for robust speech recognitionTom Ko, Vijayaditya Peddinti, Daniel Povey, Michael L. Seltzer, Sanjeev Khudanpur. icassp 2017: 5220-5224 [doi]

Topic Identification for Speech Without ASRChunxi Liu, Jan Trmal, Matthew Wiesner, Craig Harman, Sanjeev Khudanpur. interspeech 2017: 2501-2505 [doi]

An empirical evaluation of zero resource acoustic unit discoveryChunxi Liu, Jinyi Yang, Ming Sun, Santosh Kesiraju, Alena Rott, Lucas Ondel, Pegah Ghahremani, Najim Dehak, Lukás Burget, Sanjeev Khudanpur. icassp 2017: 5305-5309 [doi]

JHU Kaldi system for Arabic MGB-3 ASR challenge using diarization, audio-transcript alignment and transfer learningVimal Manohar, Daniel Povey, Sanjeev Khudanpur. asru 2017: 346-352 [doi]

Deep Neural Network Embeddings for Text-Independent Speaker VerificationDavid Snyder, Daniel Garcia-Romero, Daniel Povey, Sanjeev Khudanpur. interspeech 2017: 999-1003 [doi]

Backstitch: Counteracting Finite-Sample Bias via Negative StepsYiming Wang, Vijayaditya Peddinti, Hainan Xu, Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur. interspeech 2017: 1631-1635 [doi]

Acoustic Data-Driven Lexicon Learning Based on a Greedy Pronunciation Selection FrameworkXiaohui Zhang, Vimal Manohar, Daniel Povey, Sanjeev Khudanpur. interspeech 2017: 2541-2545 [doi]

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