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Ramón Fernandez Astudillo
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- affiliation: INESC-ID, Lisboa, Spoken Language Systems Laboratory
- affiliation: TU Berlin, Electronics and Medical Signal Processing
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2020 – today
- 2024
- [c57]Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar:
A Grounded Preference Model for LLM Alignment. ACL (Findings) 2024: 151-162 - [c56]Md. Arafat Sultan, Jatin Ganhotra, Ramón Fernandez Astudillo:
Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations. EMNLP (Findings) 2024: 16172-16187 - [c55]Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo:
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. ICML 2024 - [i31]Gaurav Pandey, Yatin Nandwani
, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR abs/2402.02479 (2024) - [i30]Md. Arafat Sultan, Jatin Ganhotra, Ramón Fernandez Astudillo:
Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations. CoRR abs/2402.11770 (2024) - [i29]Keshav Ramji, Young-Suk Lee, Ramón Fernandez Astudillo, Md. Arafat Sultan, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos:
Self-Refinement of Language Models from External Proxy Metrics Feedback. CoRR abs/2403.00827 (2024) - [i28]Shachar Don-Yehiya, Ben Burtenshaw, Ramón Fernandez Astudillo, Cailean Osborne, Mimansa Jaiswal, Tzu-Sheng Kuo, Wenting Zhao, Idan Shenfeld, Andi Peng, Mikhail Yurochkin, Atoosa Kasirzadeh, Yangsibo Huang, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen:
The Future of Open Human Feedback. CoRR abs/2408.16961 (2024) - [i27]Young-Suk Lee, Chulaka Gunasekara, Danish Contractor, Ramón Fernandez Astudillo, Radu Florian:
Multi-Document Grounded Multi-Turn Synthetic Dialog Generation. CoRR abs/2409.11500 (2024) - 2023
- [c54]Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger:
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. ACL (1) 2023: 8434-8448 - [c53]Shinjini Ghosh, Yoon Kim, Ramón Fernandez Astudillo, Tahira Naseem, Jacob Andreas:
Alignment via Mutual Information. CoNLL 2023: 488-497 - [c52]Young-Suk Lee, Md. Arafat Sultan, Yousef El-Kurdi, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos, Ramón Fernandez Astudillo:
Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs. EMNLP (Findings) 2023: 12561-12571 - [i26]Young-Suk Lee, Ramón Fernandez Astudillo, Radu Florian, Tahira Naseem, Salim Roukos:
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models. CoRR abs/2304.12272 (2023) - [i25]Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger:
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. CoRR abs/2305.04346 (2023) - [i24]Sadhana Kumaravel, Tahira Naseem, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos:
Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing. CoRR abs/2305.17273 (2023) - [i23]Maxwell Crouse, Ramón Fernandez Astudillo, Tahira Naseem, Subhajit Chaudhury, Pavan Kapanipathi, Salim Roukos, Alexander Gray:
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency. CoRR abs/2305.20018 (2023) - [i22]Young-Suk Lee, Md. Arafat Sultan, Yousef El-Kurdi, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos, Ramón Fernandez Astudillo:
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs. CoRR abs/2310.13961 (2023) - 2022
- [c51]Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray:
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization. EMNLP 2022: 7100-7110 - [c50]Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramón Fernandez Astudillo:
Inducing and Using Alignments for Transition-based AMR Parsing. NAACL-HLT 2022: 1086-1098 - [c49]Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan
DocAMR: Multi-Sentence AMR Representation and Evaluation. NAACL-HLT 2022: 3496-3505 - [c48]Young-Suk Lee, Ramón Fernandez Astudillo, Hoang Thanh Lam, Tahira Naseem, Radu Florian, Salim Roukos:
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing. NAACL-HLT 2022: 5379-5392 - [i21]Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramón Fernandez Astudillo:
Inducing and Using Alignments for Transition-based AMR Parsing. CoRR abs/2205.01464 (2022) - 2021
- [c47]Peng Qian, Tahira Naseem, Roger Levy, Ramón Fernandez Astudillo:
Structural Guidance for Transformer Language Models. ACL/IJCNLP (1) 2021: 3735-3745 - [c46]Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu:
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) 2021: 3884-3894 - [c45]Janaki Sheth
Bootstrapping Multilingual AMR with Contextual Word Alignments. EACL 2021: 394-404 - [c44]Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Young-Suk Lee, Radu Florian, Salim Roukos:
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing. EMNLP (1) 2021: 6279-6290 - [c43]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe
Eat: Enhanced ASR-TTS for Self-Supervised Speech Recognition. ICASSP 2021: 6753-6757 - [c42]Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Radu Florian:
AMR Parsing with Action-Pointer Transformer. NAACL-HLT 2021: 5585-5598 - [c41]Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo:
Ensembling Graph Predictions for AMR Parsing. NeurIPS 2021: 8495-8505 - [i20]Janaki Sheth, Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Radu Florian, Salim Roukos, Todd Ward:
Bootstrapping Multilingual AMR with Contextual Word Alignments. CoRR abs/2102.02189 (2021) - [i19]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Ramón Fernandez Astudillo, Jan Honza Cernocký:
EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition. CoRR abs/2104.07474 (2021) - [i18]Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Radu Florian:
AMR Parsing with Action-Pointer Transformer. CoRR abs/2104.14674 (2021) - [i17]Peng Qian, Tahira Naseem, Roger Levy, Ramón Fernandez Astudillo:
Structural Guidance for Transformer Language Models. CoRR abs/2108.00104 (2021) - [i16]Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo:
Ensembling Graph Predictions for AMR Parsing. CoRR abs/2110.09131 (2021) - [i15]Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Young-Suk Lee, Radu Florian, Salim Roukos:
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing. CoRR abs/2110.15534 (2021) - [i14]Young-Suk Lee, Ramón Fernandez Astudillo, Thanh Lam Hoang, Tahira Naseem, Radu Florian, Salim Roukos:
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing. CoRR abs/2112.07790 (2021) - [i13]Mihaela Bornea, Ramón Fernandez Astudillo, Tahira Naseem, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Pavan Kapanipathi, Radu Florian, Salim Roukos:
Learning to Transpile AMR into SPARQL. CoRR abs/2112.07877 (2021) - [i12]Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider:
DocAMR: Multi-Sentence AMR Representation and Evaluation. CoRR abs/2112.08513 (2021) - 2020
- [c40]Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md. Arafat Sultan, Young-Suk Lee, Radu Florian, Salim Roukos:
GPT-too: A Language-Model-First Approach for AMR-to-Text Generation. ACL 2020: 1846-1852 - [c39]Md. Arafat Sultan, Shubham Chandel, Ramón Fernandez Astudillo, Vittorio Castelli:
On the Importance of Diversity in Question Generation for QA. ACL 2020: 5651-5656 - [c38]Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian:
Transition-based Parsing with Stack-Transformers. EMNLP (Findings) 2020: 1001-1007 - [c37]Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Revanth Gangi Reddy, Radu Florian, Salim Roukos:
Pushing the Limits of AMR Parsing with Self-Learning. EMNLP (Findings) 2020: 3208-3214 - [i11]Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md. Arafat Sultan, Young-Suk Lee, Radu Florian, Salim Roukos:
GPT-too: A language-model-first approach for AMR-to-text generation. CoRR abs/2005.09123 (2020) - [i10]Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian:
Transition-based Parsing with Stack-Transformers. CoRR abs/2010.10669 (2020) - [i9]Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Revanth Gangi Reddy, Radu Florian, Salim Roukos:
Pushing the Limits of AMR Parsing with Self-Learning. CoRR abs/2010.10673 (2020) - [i8]Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu:
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR abs/2012.01707 (2020)
2010 – 2019
- 2019
- [c36]Takaaki Hori, Ramón Fernandez Astudillo, Tomoki Hayashi, Yu Zhang, Shinji Watanabe
Cycle-consistency Training for End-to-end Speech Recognition. ICASSP 2019: 6271-6275 - [c35]Murali Karthick Baskar, Shinji Watanabe
Semi-Supervised Sequence-to-Sequence ASR Using Unpaired Speech and Text. INTERSPEECH 2019: 3790-3794 - [i7]Murali Karthick Baskar, Shinji Watanabe, Ramón Fernandez Astudillo, Takaaki Hori, Lukás Burget, Jan Cernocký:
Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text. CoRR abs/1905.01152 (2019) - 2018
- [c34]Tomoki Hayashi, Shinji Watanabe
Back-Translation-Style Data Augmentation for end-to-end ASR. SLT 2018: 426-433 - [c33]Lucia Specia, Frédéric Blain, Varvara Logacheva, Ramón Fernandez Astudillo, André F. T. Martins:
Findings of the WMT 2018 Shared Task on Quality Estimation. WMT (shared task) 2018: 689-709 - [e1]Ramón Fernandez Astudillo, João Graça, André F. T. Martins:
Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post-Editing, Boston, MA, USA, March 17, 2018. Association for Machine Translation in the Americas 2018 [contents] - [i6]Tomoki Hayashi, Shinji Watanabe, Yu Zhang, Tomoki Toda, Takaaki Hori, Ramón Fernandez Astudillo, Kazuya Takeda:
Back-Translation-Style Data Augmentation for End-to-End ASR. CoRR abs/1807.10893 (2018) - [i5]Takaaki Hori, Ramón Fernandez Astudillo, Tomoki Hayashi, Yu Zhang, Shinji Watanabe, Jonathan Le Roux:
Cycle-consistency training for end-to-end speech recognition. CoRR abs/1811.01690 (2018) - 2017
- [j9]André F. T. Martins, Marcin Junczys-Dowmunt, Fábio N. Kepler, Ramón Fernandez Astudillo, Chris Hokamp, Roman Grundkiewicz:
Pushing the Limits of Translation Quality Estimation. Trans. Assoc. Comput. Linguistics 5: 205-218 (2017) - [c32]Fábio N. Kepler, Ramón Fernandez Astudillo, Alberto Abad
Fusion of Simple Models for Native Language Identification. BEA@EMNLP 2017: 423-429 - [c31]Christian Huemmer, Ramón Fernandez Astudillo, Walter Kellermann:
An improved uncertainty decoding scheme with weighted samples for multi-channel DNN-HMM hybrid systems. HSCMA 2017: 31-35 - [c30]Rubén Solera-Ureña
A Semi-Supervised Learning Approach for Acoustic-Prosodic Personality Perception in Under-Resourced Domains. INTERSPEECH 2017: 929-933 - [c29]Miguel Varela Ramos, Alan W. Black, Ramón Fernandez Astudillo, Isabel Trancoso
Segment Level Voice Conversion with Recurrent Neural Networks. INTERSPEECH 2017: 3414-3418 - [i4]Silvio Amir, Ramón Fernandez Astudillo, Wang Ling, Paula C. Carvalho
Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces. CoRR abs/1701.00145 (2017) - 2016
- [j8]Rahim Saeidi
Uncertain LDA: Including Observation Uncertainties in Discriminative Transforms. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1479-1488 (2016) - [c28]João Miranda, Ramón Fernandez Astudillo, Ângela Costa, André Silva, Hugo Silva, João Graça, Bhiksha Raj:
Crowdsourced Video Subtitling with Adaptation Based on User-Corrected Lattices. IberSPEECH 2016: 138-147 - [c27]Rubén Solera-Ureña
Acoustic-Prosodic Automatic Personality Trait Assessment for Adults and Children. IberSPEECH 2016: 192-201 - [c26]Christian Huemmer, Andreas Schwarz
A new uncertainty decoding scheme for DNN-HMM hybrid systems with multichannel speech enhancement. ICASSP 2016: 5760-5764 - [c25]André F. T. Martins, Ramón Fernandez Astudillo:
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification. ICML 2016: 1614-1623 - [c24]Alberto Abad
Exploiting Phone Log-Likelihood Ratio Features for the Detection of the Native Language of Non-Native English Speakers. INTERSPEECH 2016: 2413-2417 - [c23]Silvio Amir, Ramón Fernandez Astudillo, Wang Ling, Mário J. Silva, Isabel Trancoso:
INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words. SemEval@NAACL-HLT 2016: 238-242 - [c22]André F. T. Martins, Ramón Fernandez Astudillo, Chris Hokamp, Fábio N. Kepler:
Unbabel's Participation in the WMT16 Word-Level Translation Quality Estimation Shared Task. WMT 2016: 806-811 - [i3]André F. T. Martins, Ramón Fernandez Astudillo:
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification. CoRR abs/1602.02068 (2016) - [i2]Christian Huemmer, Ramón Fernandez Astudillo, Walter Kellermann:
An improved uncertainty decoding scheme with weighted samples for DNN-HMM hybrid systems. CoRR abs/1609.02082 (2016) - 2015
- [c21]Ramón Fernandez Astudillo, Silvio Amir, Wang Ling, Mário J. Silva, Isabel Trancoso:
Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces. ACL (1) 2015: 1074-1084 - [c20]Ramón Fernandez Astudillo, Maria Joana Correia, Isabel Trancoso:
Integration of DNN based speech enhancement and ASR. INTERSPEECH 2015: 3576-3580 - [c19]Ramón Fernandez Astudillo, Shinji Watanabe, Ahmed Hussen Abdelaziz, Dorothea Kolossa:
Robust speech processing using observation uncertainty and uncertainty propagation: session and paper overview. INTERSPEECH 2015 - [c18]Christian Huemmer, Roland Maas, Andreas Schwarz, Ramón Fernandez Astudillo, Walter Kellermann:
Uncertainty decoding for DNN-HMM hybrid systems based on numerical sampling. INTERSPEECH 2015: 3556-3560 - [c17]Silvio Amir, Wang Ling, Ramón Fernandez Astudillo, Bruno Martins, Mário J. Silva, Isabel Trancoso:
INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction. SemEval@NAACL-HLT 2015: 613-618 - [c16]Ramón Fernandez Astudillo, Silvio Amir, Wang Ling, Bruno Martins, Mário J. Silva, Isabel Trancoso:
INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces. SemEval@NAACL-HLT 2015: 652-656 - [i1]Wang Ling, Tiago Luís, Luís Marujo, Ramón Fernandez Astudillo, Silvio Amir, Chris Dyer, Alan W. Black, Isabel Trancoso:
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation. CoRR abs/1508.02096 (2015) - 2014
- [c15]Miguel Matos, Alberto Abad, Ramón Fernandez Astudillo, Isabel Trancoso:
Recognition of Distant Voice Commands for Home Applications in Portuguese. IberSPEECH 2014: 178-188 - [c14]Ramón Fernandez Astudillo, Alberto Abad
Accounting for the residual uncertainty of multi-layer perceptron based features. ICASSP 2014: 6859-6863 - [c13]Marco Matassoni, Ramón Fernandez Astudillo, Athanasios Katsamanis, Mirco Ravanelli:
The DIRHA-GRID corpus: baseline and tools for multi-room distant speech recognition using distributed microphones. INTERSPEECH 2014: 1613-1617 - 2013
- [j7]Ramón Fernandez Astudillo
Integration of beamforming and uncertainty-of-observation techniques for robust ASR in multi-source environments. Comput. Speech Lang. 27(3): 837-850 (2013) - [j6]Dorothea Kolossa
Noise-Adaptive LDA: A New Approach for Speech Recognition Under Observation Uncertainty. IEEE Signal Process. Lett. 20(11): 1018-1021 (2013) - [j5]Ramón Fernandez Astudillo
An Extension of STFT Uncertainty Propagation for GMM-Based Super-Gaussian a Priori Models. IEEE Signal Process. Lett. 20(12): 1163-1166 (2013) - [j4]Robert M. Nickel, Ramón Fernandez Astudillo
Corpus-Based Speech Enhancement With Uncertainty Modeling and Cepstral Smoothing. IEEE Trans. Speech Audio Process. 21(5): 983-997 (2013) - [j3]Ramón Fernandez Astudillo
Computing MMSE Estimates and Residual Uncertainty Directly in the Feature Domain of ASR using STFT Domain Speech Distortion Models. IEEE Trans. Speech Audio Process. 21(5): 1023-1034 (2013) - [c12]Ramón Fernandez Astudillo:
A propagation approach to modelling the joint distributions of clean and corrupted speech in the Mel-Cepstral domain. ASRU 2013: 180-185 - [c11]Ramón Fernandez Astudillo, Timo Gerkmann
On the relation between speech corruption models in the spectral and the cepstral domain. ICASSP 2013: 7044-7048 - [c10]Alberto Abad, Ramón Fernandez Astudillo, Isabel Trancoso:
The L2F Spoken Web Search System for Mediaeval 2013. MediaEval 2013 - 2012
- [c9]Robert M. Nickel
Inventory-style speech enhancement with uncertainty-of-observation techniques. ICASSP 2012: 4645-4648 - [c8]Ramón Fernandez Astudillo, Alberto Abad
Integration of beamforming and automatic speech recognition through propagation of the wiener posterior. ICASSP 2012: 4909-4912 - [c7]Ramón Fernandez Astudillo, Alberto Abad, João Paulo Neto:
Uncertainty driven Compensation of Multi-Stream MLP Acoustic Models for Robust ASR. INTERSPEECH 2012: 2606-2609 - [c6]Alberto Abad, Ramón Fernandez Astudillo:
The L2F Spoken Web Search system for Mediaeval 2012. MediaEval 2012 - 2011
- [c5]Ramón Fernandez Astudillo, João Paulo da Silva Neto:
Propagation of Uncertainty Through Multilayer Perceptrons for Robust Automatic Speech Recognition. INTERSPEECH 2011: 461-464 - [p2]Ramón Fernandez Astudillo, Dorothea Kolossa:
Uncertainty Propagation. Robust Speech Recognition of Uncertain or Missing Data 2011: 35-64 - [p1]Alexander Vorwerk, Steffen Zeiler, Dorothea Kolossa, Ramón Fernandez Astudillo, Dennis Lerch:
Use of Missing and Unreliable Data for Audiovisual Speech Recognition. Robust Speech Recognition of Uncertain or Missing Data 2011: 345-375 - 2010
- [b1]Ramón Fernandez Astudillo:
Integration of short-time Fourier domain speech enhancement and observation uncertainty techniques for robust automatic speech recognition. Berlin Institute of Technology, 2010 - [j2]Dorothea Kolossa
Independent Component Analysis and Time-Frequency Masking for Speech Recognition in Multitalker Conditions. EURASIP J. Audio Speech Music. Process. 2010 (2010) - [j1]Ramón Fernandez Astudillo
An Uncertainty Propagation Approach to Robust ASR Using the ETSI Advanced Front-End. IEEE J. Sel. Top. Signal Process. 4(5): 824-833 (2010) - [c4]Dorothea Kolossa, Ramón Fernandez Astudillo, Steffen Zeiler, Alexander Vorwerk, Dennis Lerch, Jike Chong, Reinhold Orglmeister:
Missing Feature Audiovisual Speech Recognition under Real-Time Constraints. Sprachkommunikation 2010: 1-4 - [c3]Ramón Fernandez Astudillo, Reinhold Orglmeister:
A MMSE estimator in mel-cepstral domain for robust large vocabulary automatic speech recognition using uncertainty propagation. INTERSPEECH 2010: 713-716
2000 – 2009
- 2009
- [c2]Ramón Fernandez Astudillo, Dorothea Kolossa, Reinhold Orglmeister:
Accounting for the uncertainty of speech estimates in the complex domain for minimum mean square error speech enhancement. INTERSPEECH 2009: 2491-2494 - [c1]Ramón Fernandez Astudillo, Eugen Hoffmann, Philipp Mandelartz, Reinhold Orglmeister:
Speech Enhancement for Automatic Speech Recognition Using Complex Gaussian Mixture Priors for Noise and Speech. NOLISP 2009: 60-67
Coauthor Index
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