Nathan Susanj

According to our database, Nathan Susanj authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Max-Margin Transducer Loss: Improving Sequence-Discriminative Training Using a Large-Margin Learning Strategy.

Rupak Vignesh Swaminathan, Grant P. Strimel, Ariya Rastrow, Sri Harish Mallidi, Kai Zhen, Hieu Duy Nguyen, Nathan Susanj, Athanasios Mouchtaris

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Conmer: Streaming Conformer Without Self-attention for Interactive Voice Assistants.

Martin Radfar, Paulina Lyskawa, Brandon Trujillo, Yi Xie, Kai Zhen, Jahn Heymann, Denis Filimonov, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Multilingual End-To-End Spoken Language Understanding For Ultra-Low Footprint Applications.

Markus Müller, Anastasios Alexandridis, Zach Trozenski, Joel Whiteman, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann

Proceedings of the IEEE International Conference on Acoustics, 2023

Gated Contextual Adapters For Selective Contextual Biasing In Neural Transducers.

Anastasios Alexandridis, Kanthashree Mysore Sathyendra, Grant P. Strimel, Feng-Ju Chang, Ariya Rastrow, Nathan Susanj, Athanasios Mouchtaris

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A neural prosody encoder for end-ro-end dialogue act classification.

Kai Wei, Dillon Knox, Martin Radfar, Thanh Tran, Markus Müller, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris, Maurizio Omologo

CoRR, 2022

Sub-8-Bit Quantization for On-Device Speech Recognition: A Regularization-Free Approach.

Kai Zhen, Martin Radfar, Hieu Duy Nguyen, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Accelerator-Aware Training for Transducer-Based Speech Recognition.

Suhaila M. Shakiah, Rupak Vignesh Swaminathan, Hieu Duy Nguyen, Raviteja Chinta, Tariq Afzal, Nathan Susanj, Athanasios Mouchtaris, Grant P. Strimel, Ariya Rastrow

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition.

Kai Zhen, Hieu Duy Nguyen, Raviteja Chinta, Nathan Susanj, Athanasios Mouchtaris, Tariq Afzal, Ariya Rastrow

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition.

Martin Radfar, Rohit Barnwal, Rupak Vignesh Swaminathan, Feng-Ju Chang, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer.

Kaiqi Zhao, Hieu Nguyen, Animesh Jain, Nathan Susanj, Athanasios Mouchtaris, Lokesh Gupta, Ming Zhao

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A Neural Prosody Encoder for End-to-End Dialogue Act Classification.

Kai Wei, Dillon Knox, Martin Radfar, Thanh Tran, Markus Müller, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris, Maurizio Omologo

Proceedings of the IEEE International Conference on Acoustics, 2022

Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding.

Bhuvan Agrawal, Markus Müller, Samridhi Choudhary, Martin Radfar, Athanasios Mouchtaris, Ross McGowan, Nathan Susanj, Siegfried Kunzmann

Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding.

Thanh Tran, Kai Wei, Weitong Ruan, Ross McGowan, Nathan Susanj, Grant P. Strimel

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Revisiting Pretraining with Adapters.

Seungwon Kim, Alex Shum, Nathan Susanj, Jonathan Hilgart

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding.

Kai Wei, Thanh Tran, Feng-Ju Chang, Kanthashree Mysore Sathyendra, Thejaswi Muniyappa, Jing Liu, Anirudh Raju, Ross McGowan, Nathan Susanj, Ariya Rastrow, Grant P. Strimel

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021