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2020 – today
- 2024
[c67]Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk:
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation. AAAI 2024: 4952-4960- [i23]Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu
, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli:
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation. CoRR abs/2405.13762 (2024) - 2023
- [c66]R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal:
Dataset Balancing Can Hurt Model Performance. ICASSP 2023: 1-5 - [i22]Judith Yue Li, Aren Jansen, Qingqing Huang, Joonseok Lee, Ravi Ganti, Dima Kuzmin:
MAQA: A Multimodal QA Benchmark for Negation. CoRR abs/2301.03238 (2023) - [i21]Andrea Agostinelli, Timo I. Denk, Zalán Borsos, Jesse H. Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, Matthew Sharifi, Neil Zeghidour, Christian Havnø Frank:
MusicLM: Generating Music From Text. CoRR abs/2301.11325 (2023) - [i20]Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk:
V2Meow: Meowing to the Visual Beat via Music Generation. CoRR abs/2305.06594 (2023) - [i19]R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal:
Dataset balancing can hurt model performance. CoRR abs/2307.00079 (2023) - 2022
- [j10]Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 16(6): 1519-1532 (2022) - [j9]Fernando Vieira, Subhashini Venugopalan, Alan S. Premasiri, Maeve McNally, Aren Jansen, Kevin McCloskey, Michael P. Brenner, Steven Perrin:
A machine-learning based objective measure for ALS disease severity. npj Digit. Medicine 5 (2022) - [c65]Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang:
Universal Paralinguistic Speech Representations Using self-Supervised Conformers. ICASSP 2022: 3169-3173 - [c64]Kevin Kilgour, Beat Gfeller, Qingqing Huang, Aren Jansen, Scott Wisdom, Marco Tagliasacchi:
Text-Driven Separation of Arbitrary Sounds. INTERSPEECH 2022: 5403-5407 - [c63]Qingqing Huang, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, Daniel P. W. Ellis:
MuLan: A Joint Embedding of Music Audio and Natural Language. ISMIR 2022: 559-566 - [i18]Kevin Kilgour, Beat Gfeller, Qingqing Huang, Aren Jansen, Scott Wisdom, Marco Tagliasacchi:
Text-Driven Separation of Arbitrary Sounds. CoRR abs/2204.05738 (2022) - [i17]Qingqing Huang, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, Daniel P. W. Ellis:
MuLan: A Joint Embedding of Music Audio and Natural Language. CoRR abs/2208.12415 (2022) - 2021
- [c62]Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal:
The Benefit of Temporally-Strong Labels in Audio Event Classification. ICASSP 2021: 366-370 - [c61]Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Dan Ellis, John R. Hershey:
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. ICLR 2021 - [c60]Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun:
Attention Bottlenecks for Multimodal Fusion. NeurIPS 2021: 14200-14213 - [c59]Scott Wisdom, Aren Jansen, Ron J. Weiss, Hakan Erdogan, John R. Hershey:
Sparse, Efficient, and Semantic Mixture Invariant Training: Taming In-the-Wild Unsupervised Sound Separation. WASPAA 2021: 51-55 - [c58]Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra:
Self-Supervised Learning from Automatically Separated Sound Scenes. WASPAA 2021: 251-255 - [i16]Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra:
Self-Supervised Learning from Automatically Separated Sound Scenes. CoRR abs/2105.02132 (2021) - [i15]Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal:
The Benefit Of Temporally-Strong Labels In Audio Event Classification. CoRR abs/2105.07031 (2021) - [i14]Scott Wisdom, Aren Jansen, Ron J. Weiss, Hakan Erdogan, John R. Hershey:
Sparse, Efficient, and Semantic Mixture Invariant Training: Taming In-the-Wild Unsupervised Sound Separation. CoRR abs/2106.00847 (2021) - [i13]Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun:
Attention Bottlenecks for Multimodal Fusion. CoRR abs/2107.00135 (2021) - [i12]Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR abs/2109.13226 (2021) - [i11]Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang:
Universal Paralinguistic Speech Representations Using Self-Supervised Conformers. CoRR abs/2110.04621 (2021) - 2020
- [j8]Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore:
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking. IEEE Signal Process. Lett. 27: 1235-1239 (2020) - [c57]Efthymios Tzinis, Scott Wisdom, John R. Hershey, Aren Jansen, Daniel P. W. Ellis:
Improving Universal Sound Separation Using Sound Classification. ICASSP 2020: 96-100 - [c56]Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous:
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision. ICASSP 2020: 121-125 - [c55]Qingqing Huang, Aren Jansen, Li Zhang, Daniel P. W. Ellis, Rif A. Saurous, John R. Anderson:
Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. ICASSP 2020: 8364-8368 - [c54]Joel Shor, Aren Jansen, Ronnie Maor, Oran Lang, Omry Tuval, Félix de Chaumont Quitry, Marco Tagliasacchi, Ira Shavitt, Dotan Emanuel, Yinnon Haviv:
Towards Learning a Universal Non-Semantic Representation of Speech. INTERSPEECH 2020: 140-144 - [c53]Ayush Patwari, Nicholas Kong, Jun Wang, Ullas Gargi, Michele Covell, Aren Jansen:
Semantically Meaningful Attributes from Co-Listen Embeddings for Playlist Exploration and Expansion. ISMIR 2020: 527-533 - [i10]Joel Shor, Aren Jansen, Ronnie Maor, Oran Lang, Omry Tuval, Felix de Chaumont Quitry, Marco Tagliasacchi, Ira Shavitt, Dotan Emanuel, Yinnon Haviv:
Towards Learning a Universal Non-Semantic Representation of Speech. CoRR abs/2002.12764 (2020) - [i9]Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore, Xavier Serra:
Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking. CoRR abs/2005.00878 (2020) - [i8]Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Daniel P. W. Ellis, John R. Hershey:
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. CoRR abs/2011.01143 (2020)
2010 – 2019
- 2019
- [i7]Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous:
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision. CoRR abs/1911.05894 (2019) - [i6]Efthymios Tzinis, Scott Wisdom, John R. Hershey, Aren Jansen, Daniel P. W. Ellis:
Improving Universal Sound Separation Using Sound Classification. CoRR abs/1911.07951 (2019) - 2018
- [c52]Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous:
Unsupervised Learning of Semantic Audio Representations. ICASSP 2018: 126-130 - 2017
- [j7]Herman Kamper, Aren Jansen, Sharon Goldwater:
A segmental framework for fully-unsupervised large-vocabulary speech recognition. Comput. Speech Lang. 46: 154-174 (2017) - [j6]Aren Jansen, Gregory Sell, Vince Lyzinski:
Scalable out-of-sample extension of graph embeddings using deep neural networks. Pattern Recognit. Lett. 94: 1-6 (2017) - [j5]Caitlin Richter, Naomi H. Feldman, Harini Salgado, Aren Jansen:
Evaluating Low-Level Speech Features Against Human Perceptual Data. Trans. Assoc. Comput. Linguistics 5: 425-440 (2017) - [c51]Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, R. Channing Moore, Manoj Plakal, Devin Platt, Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron J. Weiss, Kevin W. Wilson:
CNN architectures for large-scale audio classification. ICASSP 2017: 131-135 - [c50]Jort F. Gemmeke, Daniel P. W. Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R. Channing Moore, Manoj Plakal, Marvin Ritter:
Audio Set: An ontology and human-labeled dataset for audio events. ICASSP 2017: 776-780 - [c49]Aren Jansen, Jort F. Gemmeke, Daniel P. W. Ellis, Xiaofeng Liu, Wade Lawrence, Dylan Freedman:
Large-scale audio event discovery in one million YouTube videos. ICASSP 2017: 786-790 - [i5]Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous:
Unsupervised Learning of Semantic Audio Representations. CoRR abs/1711.02209 (2017) - 2016
- [j4]Herman Kamper, Aren Jansen, Sharon Goldwater:
Unsupervised Word Segmentation and Lexicon Discovery Using Acoustic Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 669-679 (2016) - [c48]Caitlin Richter, Naomi Feldman, Harini Salgado, Aren Jansen:
A Framework for Evaluating Speech Representations. CogSci 2016 - [c47]Chunxi Liu, Aren Jansen, Sanjeev Khudanpur:
Context-dependent point process models for keyword search and detection-based ASR. ICASSP 2016: 6025-6029 - [c46]Maarten Versteegh, Xavier Anguera, Aren Jansen, Emmanuel Dupoux:
The Zero Resource Speech Challenge 2015: Proposed Approaches and Results. SLTU 2016: 67-72 - [i4]Herman Kamper, Aren Jansen, Sharon Goldwater:
Unsupervised word segmentation and lexicon discovery using acoustic word embeddings. CoRR abs/1603.02845 (2016) - [i3]Herman Kamper, Aren Jansen, Sharon Goldwater:
A segmental framework for fully-unsupervised large-vocabulary speech recognition. CoRR abs/1606.06950 (2016) - [i2]Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, R. Channing Moore, Manoj Plakal, Devin Platt, Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron J. Weiss, Kevin W. Wilson:
CNN Architectures for Large-Scale Audio Classification. CoRR abs/1609.09430 (2016) - 2015
- [c45]Jonathan Wintrode, Gregory Sell, Aren Jansen, Michelle Fox, Daniel Garcia-Romero, Alan McCree:
Content-based recommender systems for spoken documents. ICASSP 2015: 5201-5205 - [c44]Herman Kamper, Micha Elsner, Aren Jansen, Sharon Goldwater:
Unsupervised neural network based feature extraction using weak top-down constraints. ICASSP 2015: 5818-5822 - [c43]Keith D. Levin, Aren Jansen, Benjamin Van Durme:
Segmental acoustic indexing for zero resource keyword search. ICASSP 2015: 5828-5832 - [c42]Herman Kamper, Aren Jansen, Sharon Goldwater:
Fully unsupervised small-vocabulary speech recognition using a segmental Bayesian model. INTERSPEECH 2015: 678-682 - [c41]Maarten Versteegh, Roland Thiollière, Thomas Schatz, Xuan-Nga Cao, Xavier Anguera, Aren Jansen, Emmanuel Dupoux:
The zero resource speech challenge 2015. INTERSPEECH 2015: 3169-3173 - [c40]Daniel Renshaw, Herman Kamper, Aren Jansen, Sharon Goldwater:
A comparison of neural network methods for unsupervised representation learning on the zero resource speech challenge. INTERSPEECH 2015: 3199-3203 - [c39]Vince Lyzinski, Gregory Sell, Aren Jansen:
An evaluation of graph clustering methods for unsupervised term discovery. INTERSPEECH 2015: 3209-3213 - [c38]Jerome White, Douglas W. Oard, Aren Jansen, Jiaul H. Paik, Rashmi Sankepally:
Using Zero-Resource Spoken Term Discovery for Ranked Retrieval. HLT-NAACL 2015: 588-597 - [c37]Douglas W. Oard, Rashmi Sankepally, Jerome White, Aren Jansen, Craig Harman:
A Test Collection for Spoken Gujarati Queries. SIGIR 2015: 919-922 - [i1]Aren Jansen, Gregory Sell, Vince Lyzinski:
Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks. CoRR abs/1508.04422 (2015) - 2014
- [c36]Aren Jansen, Daniel Garcia-Romero, Pascal Clark, Jaime Hernandez-Cordero:
Unsupervised idiolect discovery for speaker recognition. ICASSP 2014: 1675-1679 - [c35]Keith Kintzley, Aren Jansen, Hynek Hermansky:
Featherweight phonetic keyword search for conversational speech. ICASSP 2014: 7859-7863 - [c34]Chunxi Liu, Aren Jansen, Guoguo Chen, Keith Kintzley, Jan Trmal, Sanjeev Khudanpur:
Low-resource open vocabulary keyword search using point process models. INTERSPEECH 2014: 2789-2793 - [c33]Bogdan Ludusan, Maarten Versteegh, Aren Jansen, Guillaume Gravier, Xuan-Nga Cao, Mark Johnson, Emmanuel Dupoux:
Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems. LREC 2014: 560-567 - [c32]Herman Kamper, Aren Jansen, Simon King, Sharon Goldwater:
Unsupervised lexical clustering of speech segments using fixed-dimensional acoustic embeddings. SLT 2014: 100-105 - [c31]Jan Trmal, Guoguo Chen, Daniel Povey, Sanjeev Khudanpur, Pegah Ghahremani, Xiaohui Zhang, Vimal Manohar, Chunxi Liu, Aren Jansen, Dietrich Klakow, David Yarowsky, Florian Metze:
A keyword search system using open source software. SLT 2014: 530-535 - 2013
- [j3]Aren Jansen, Partha Niyogi:
Intrinsic Spectral Analysis. IEEE Trans. Signal Process. 61(7): 1698-1710 (2013) - [c30]Keith D. Levin, Katharine Henry, Aren Jansen, Karen Livescu:
Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings. ASRU 2013: 410-415 - [c29]Douglas W. Oard, Jerome White, Jiaul H. Paik, Rashmi Sankepally, Aren Jansen:
The FIRE 2013 Question Answering for the Spoken Web Task. FIRE 2013: 1:1-1:3 - [c28]Pascal Clark, Sri Harish Reddy Mallidi, Aren Jansen, Hynek Hermansky:
Frequency offset correction in speech without detecting pitch. ICASSP 2013: 7020-7024 - [c27]Aren Jansen, Samuel Thomas, Hynek Hermansky:
Weak top-down constraints for unsupervised acoustic model training. ICASSP 2013: 8091-8095 - [c26]Aren Jansen, Emmanuel Dupoux, Sharon Goldwater, Mark Johnson, Sanjeev Khudanpur, Kenneth Church, Naomi Feldman, Hynek Hermansky, Florian Metze, Richard C. Rose, Mike Seltzer, Pascal Clark, Ian McGraw, Balakrishnan Varadarajan, Erin Bennett, Benjamin Börschinger, Justin T. Chiu, Ewan Dunbar, Abdellah Fourtassi, David Harwath, Chia-ying Lee, Keith D. Levin, Atta Norouzian, Vijayaditya Peddinti, Rachael Richardson, Thomas Schatz, Samuel Thomas:
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition. ICASSP 2013: 8111-8115 - [c25]Atta Norouzian, Richard C. Rose, Sina Hamidi Ghalehjegh, Aren Jansen:
Zero resource graph-based confidence estimation for open vocabulary spoken term detection. ICASSP 2013: 8292-8296 - [c24]Keith Kintzley, Aren Jansen, Hynek Hermansky:
Text-to-speech inspired duration modeling for improved whole-word acoustic models. INTERSPEECH 2013: 1253-1257 - [c23]Thomas Schatz, Vijayaditya Peddinti, Francis R. Bach, Aren Jansen, Hynek Hermansky, Emmanuel Dupoux:
Evaluating speech features with the minimal-pair ABX task: analysis of the classical MFC/PLP pipeline. INTERSPEECH 2013: 1781-1785 - [c22]Atta Norouzian, Richard C. Rose, Aren Jansen:
Semi-supervised manifold learning approaches for spoken term verification. INTERSPEECH 2013: 2594-2598 - 2012
- [c21]Keith Kintzley, Aren Jansen, Hynek Hermansky:
MAP Estimation of Whole-Word Acoustic Models with Dictionary Priors. INTERSPEECH 2012: 787-790 - [c20]Samuel Thomas, Sriram Ganapathy, Aren Jansen, Hynek Hermansky:
Data-driven Posterior Features for Low Resource Speech Recognition Applications. INTERSPEECH 2012: 791-794 - [c19]Aren Jansen, Samuel Thomas, Hynek Hermansky:
Intrinsic Spectral Analysis for Zero and High Resource Speech Recognition. INTERSPEECH 2012: 879-882 - [c18]Keith Kintzley, Aren Jansen, Kenneth Church, Hynek Hermansky:
Inverting the Point Process Model for Fast Phonetic Keyword Search. INTERSPEECH 2012: 2438-2441 - [c17]Atta Norouzian, Aren Jansen, Richard C. Rose, Samuel Thomas:
Exploiting Discriminative Point Process Models for Spoken Term Detection. INTERSPEECH 2012: 2442-2445 - [c16]Aren Jansen, Benjamin Van Durme:
Indexing Raw Acoustic Features for Scalable Zero Resource Search. INTERSPEECH 2012: 2466-2469 - [c15]Aren Jansen, Benjamin Van Durme, Pascal Clark:
The JHU-HLTCOE Spoken Web Search System for MediaEval 2012. MediaEval 2012 - 2011
- [c14]Aren Jansen, Benjamin Van Durme:
Efficient spoken term discovery using randomized algorithms. ASRU 2011: 401-406 - [c13]Damianos G. Karakos, Mark Dredze, Ken Ward Church, Aren Jansen, Sanjeev Khudanpur:
Estimating document frequencies in a speech corpus. ASRU 2011: 407-412 - [c12]Geoffrey Zweig, Patrick Nguyen, Dirk Van Compernolle, Kris Demuynck, Les E. Atlas, Pascal Clark, Gregory Sell, Meihong Wang, Fei Sha, Hynek Hermansky, Damianos G. Karakos, Aren Jansen, Samuel Thomas, Sivaram G. S. V. S., Samuel R. Bowman, Justine T. Kao:
Speech recognitionwith segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop. ICASSP 2011: 5044-5047 - [c11]Aren Jansen:
Whole word discriminative point process models. ICASSP 2011: 5180-5183 - [c10]Michael A. Carlin, Samuel Thomas, Aren Jansen, Hynek Hermansky:
Rapid Evaluation of Speech Representations for Spoken Term Discovery. INTERSPEECH 2011: 821-824 - [c9]Aren Jansen, Kenneth Church:
Towards Unsupervised Training of Speaker Independent Acoustic Models. INTERSPEECH 2011: 1693-1692 - [c8]Keith Kintzley, Aren Jansen, Hynek Hermansky:
Event Selection from Phone Posteriorgrams Using Matched Filters. INTERSPEECH 2011: 1905-1908 - 2010
- [c7]Mark Dredze, Aren Jansen, Glen Coppersmith, Ken Ward Church:
NLP on Spoken Documents Without ASR. EMNLP 2010: 460-470 - [c6]Aren Jansen, Partha Niyogi:
Detection-based speech recognition with sparse point process models. ICASSP 2010: 4362-4365 - [c5]Aren Jansen, Kenneth Church, Hynek Hermansky:
Towards spoken term discovery at scale with zero resources. INTERSPEECH 2010: 1676-1679
2000 – 2009
- 2009
- [j2]Aren Jansen, Partha Niyogi:
Point process models for event-based speech recognition. Speech Commun. 51(12): 1155-1168 (2009) - [j1]Aren Jansen, Partha Niyogi:
Point Process Models for Spotting Keywords in Continuous Speech. IEEE Trans. Speech Audio Process. 17(8): 1457-1470 (2009) - [c4]Aren Jansen, Partha Niyogi:
Robust keyword spotting with rapidly adapting point process models. INTERSPEECH 2009: 2767-2770 - 2008
- [c3]Aren Jansen, Partha Niyogi:
A hierarchical point process model for speech recognition. ICASSP 2008: 4093-4096 - 2007
- [c2]Aren Jansen, Partha Niyogi:
Semi-supervised learning of speech sounds. INTERSPEECH 2007: 86-89 - 2006
- [c1]Aren Jansen, Partha Niyogi:
Intrinsic Fourier Analysis on the Manifold of Speech Sounds. ICASSP (1) 2006: 241-244
Coauthor Index
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