Phoneme Recognition with Large Hierarchical Reservoirs. - Fabian Triefenbach; Azarakhsh Jalalvand; Benjamin Schrauwen; Jean-Pierre Martens (NIPS, 2010)

Connected Digit Recognition by Means of Reservoir Computing. - Azarakhsh Jalalvand; Fabian Triefenbach; David Verstraeten; Jean-Pierre Martens (INTERSPEECH, 2011)

Effects of Architecture Choices on Sparse Coding in Speech Recognition. - Fionntán O'Donnell; Fabian Triefenbach; Jean-Pierre Martens; Benjamin Schrauwen (ICANN (1), 2012)

Continuous Digit Recognition in Noise: Reservoirs can do an excellent job! - Azarakhsh Jalalvand; Fabian Triefenbach; Jean-Pierre Martens (INTERSPEECH, 2012)

Improving large vocabulary continuous speech recognition by combining GMM-based and reservoir-based acoustic modeling. - Fabian Triefenbach; Kris Demuynck; Jean-Pierre Martens (SLT, 2012)

Porting concepts from DNNs back to GMMs. - Kris Demuynck; Fabian Triefenbach (ASRU, 2013)

Context-dependent modeling and speaker normalization applied to reservoir-based phone recognition. - Fabian Triefenbach; Azarakhsh Jalalvand; Kris Demuynck; Jean-Pierre Martens (INTERSPEECH, 2013)

Acoustic Modeling With Hierarchical Reservoirs. - Fabian Triefenbach; Azarakhsh Jalalvand; Kris Demuynck; Jean-Pierre Martens (IEEE Trans. Speech Audio Process., 2013)

Large Vocabulary Continuous Speech Recognition With Reservoir-Based Acoustic Models. - Fabian Triefenbach; Kris Demuynck; Jean-Pierre Martens (IEEE Signal Process. Lett., 2014)

Robust continuous digit recognition using Reservoir Computing. - Azarakhsh Jalalvand; Fabian Triefenbach; Kris Demuynck; Jean-Pierre Martens (Comput. Speech Lang., 2015)

Data Balancing for Boosting Performance of Low-Frequency Classes in Spoken Language Understanding. - Judith Gaspers; Quynh Ngoc Thi Do; Fabian Triefenbach (INTERSPEECH, 2020)

Continuous Model Improvement for Language Understanding with Machine Translation. - Abdalghani Abujabal; Claudio Delli Bovi; Sungho Ryu; Turan Gojayev; Fabian Triefenbach; Yannick Versley (NAACL-HLT (Industry Papers), 2021)

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 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (KDD, 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 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (CoRR, 2022)

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. - Saleh Soltan; Shankar Ananthakrishnan; Jack FitzGerald; Rahul Gupta 001; Wael Hamza; Haidar Khan; Charith Peris; Stephen Rawls; Andy Rosenbaum; Anna Rumshisky; Chandana Satya Prakash; Mukund Sridhar; et al. (CoRR, 2022)

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)