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Nathan Susanj
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2020 – today
- 2024
- [c14]Rupak Vignesh Swaminathan, Grant P. Strimel, Ariya Rastrow, Sri Harish Mallidi, Kai Zhen, Hieu Duy Nguyen, Nathan Susanj, Athanasios Mouchtaris:
Max-Margin Transducer Loss: Improving Sequence-Discriminative Training Using a Large-Margin Learning Strategy. ICASSP 2024: 12226-12230 - 2023
- [c13]Anastasios Alexandridis, Kanthashree Mysore Sathyendra, Grant P. Strimel, Feng-Ju Chang, Ariya Rastrow, Nathan Susanj, Athanasios Mouchtaris:
Gated Contextual Adapters For Selective Contextual Biasing In Neural Transducers. ICASSP 2023: 1-5 - [c12]Markus Müller, Anastasios Alexandridis, Zach Trozenski, Joel Whiteman, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann:
Multilingual End-To-End Spoken Language Understanding For Ultra-Low Footprint Applications. ICASSP 2023: 1-5 - [c11]Martin Radfar, Paulina Lyskawa, Brandon Trujillo, Yi Xie, Kai Zhen, Jahn Heymann, Denis Filimonov, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris:
Conmer: Streaming Conformer Without Self-attention for Interactive Voice Assistants. INTERSPEECH 2023: 2198-2202 - [i6]Suhaila M. Shakiah, Rupak Vignesh Swaminathan, Hieu Duy Nguyen, Raviteja Chinta, Tariq Afzal, Nathan Susanj, Athanasios Mouchtaris, Grant P. Strimel, Ariya Rastrow:
Accelerator-Aware Training for Transducer-Based Speech Recognition. CoRR abs/2305.07778 (2023) - 2022
- [c10]Thanh Tran, Kai Wei, Weitong Ruan, Ross McGowan, Nathan Susanj, Grant P. Strimel:
Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding. AAAI 2022: 12622-12628 - [c9]Kai Wei, Dillon Knox, Martin Radfar, Thanh Tran, Markus Müller, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris, Maurizio Omologo:
A Neural Prosody Encoder for End-to-End Dialogue Act Classification. ICASSP 2022: 7047-7051 - [c8]Bhuvan Agrawal, Markus Müller, Samridhi Choudhary, Martin Radfar, Athanasios Mouchtaris, Ross McGowan, Nathan Susanj, Siegfried Kunzmann:
Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding. ICASSP 2022: 7157-7161 - [c7]Kai Zhen, Hieu Duy Nguyen, Raviteja Chinta, Nathan Susanj, Athanasios Mouchtaris, Tariq Afzal, Ariya Rastrow:
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition. INTERSPEECH 2022: 3033-3037 - [c6]Martin Radfar, Rohit Barnwal, Rupak Vignesh Swaminathan, Feng-Ju Chang, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris:
ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition. INTERSPEECH 2022: 4431-4435 - [c5]Kaiqi Zhao, Hieu Nguyen, Animesh Jain, Nathan Susanj, Athanasios Mouchtaris, Lokesh Gupta, Ming Zhao:
Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer. INTERSPEECH 2022: 4436-4440 - [c4]Kai Zhen, Martin Radfar, Hieu Duy Nguyen, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris:
Sub-8-Bit Quantization for On-Device Speech Recognition: A Regularization-Free Approach. SLT 2022: 15-22 - [c3]Suhaila M. Shakiah, Rupak Vignesh Swaminathan, Hieu Duy Nguyen, Raviteja Chinta, Tariq Afzal, Nathan Susanj, Athanasios Mouchtaris, Grant P. Strimel, Ariya Rastrow:
Accelerator-Aware Training for Transducer-Based Speech Recognition. SLT 2022: 100-107 - [i5]Kai Wei, Dillon Knox, Martin Radfar, Thanh Tran, Markus Müller, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris, Maurizio Omologo:
A neural prosody encoder for end-ro-end dialogue act classification. CoRR abs/2205.05590 (2022) - [i4]Kai Zhen, Hieu Duy Nguyen, Raviteja Chinta, Nathan Susanj, Athanasios Mouchtaris, Tariq Afzal, Ariya Rastrow:
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition. CoRR abs/2206.15408 (2022) - [i3]Martin Radfar, Rohit Barnwal, Rupak Vignesh Swaminathan, Feng-Ju Chang, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris:
ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition. CoRR abs/2209.14868 (2022) - [i2]Kai Zhen, Martin Radfar, Hieu Duy Nguyen, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris:
Sub-8-bit quantization for on-device speech recognition: a regularization-free approach. CoRR abs/2210.09188 (2022) - 2021
- [c2]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:
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding. ASRU 2021: 837-844 - [c1]Seungwon Kim, Alex Shum, Nathan Susanj, Jonathan Hilgart:
Revisiting Pretraining with Adapters. RepL4NLP@ACL-IJCNLP 2021: 90-99 - [i1]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:
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding. CoRR abs/2112.06743 (2021)
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