Fabian Triefenbach

According to our database, Fabian Triefenbach authored at least 16 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

CALICO: Conversational Agent Localization via Synthetic Data Generation.

Andy Rosenbaum, Pegah Kharazmi, Ershad Banijamali, Lu Zeng, Christopher DiPersio, Pan Wei, Gokmen Oz, Clement Chung, Karolina Owczarzak, Fabian Triefenbach, Wael Hamza

CoRR, 2024

2022

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model.

Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, Chandana Satya Prakash, Mukund Sridhar, Fabian Triefenbach, Apurv Verma, Gökhan Tür, Prem Natarajan

CoRR, 2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan

CoRR, 2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Continuous Model Improvement for Language Understanding with Machine Translation.

Abdalghani Abujabal, Claudio Delli Bovi, Sungho Ryu, Turan Gojayev, Fabian Triefenbach, Yannick Versley

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

2020

Data Balancing for Boosting Performance of Low-Frequency Classes in Spoken Language Understanding.

Judith Gaspers, Quynh Ngoc Thi Do, Fabian Triefenbach

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2015

Robust continuous digit recognition using Reservoir Computing.

Azarakhsh Jalalvand, Fabian Triefenbach, Kris Demuynck, Jean-Pierre Martens

Comput. Speech Lang., 2015

2014

Large Vocabulary Continuous Speech Recognition With Reservoir-Based Acoustic Models.

Fabian Triefenbach, Kris Demuynck, Jean-Pierre Martens

IEEE Signal Process. Lett., 2014

2013

Acoustic Modeling With Hierarchical Reservoirs.

Fabian Triefenbach, Azarakhsh Jalalvand, Kris Demuynck, Jean-Pierre Martens

IEEE Trans. Speech Audio Process., 2013

Context-dependent modeling and speaker normalization applied to reservoir-based phone recognition.

Fabian Triefenbach, Azarakhsh Jalalvand, Kris Demuynck, Jean-Pierre Martens

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Porting concepts from DNNs back to GMMs.

Kris Demuynck, Fabian Triefenbach

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

Improving large vocabulary continuous speech recognition by combining GMM-based and reservoir-based acoustic modeling.

Fabian Triefenbach, Kris Demuynck, Jean-Pierre Martens

Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

Continuous Digit Recognition in Noise: Reservoirs can do an excellent job!

Azarakhsh Jalalvand, Fabian Triefenbach, Jean-Pierre Martens

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Effects of Architecture Choices on Sparse Coding in Speech Recognition.

Fionntán O'Donnell, Fabian Triefenbach, Jean-Pierre Martens, Benjamin Schrauwen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Connected Digit Recognition by Means of Reservoir Computing.

Azarakhsh Jalalvand, Fabian Triefenbach, David Verstraeten, Jean-Pierre Martens

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

2010

Phoneme Recognition with Large Hierarchical Reservoirs.

Fabian Triefenbach, Azarakhsh Jalalvand, Benjamin Schrauwen, Jean-Pierre Martens

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010