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ORCIDMartin Radfar
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2020 – today
- 2024
[c17]Akshay Muppidi, Martin Radfar:
Emohrnet: High-Resolution Neural Network Based Speech Emotion Recognition. ICASSP 2024: 10881-10885- 2023
- [c16]Jixuan Wang, Martin Radfar, Kai Wei, Clement Chung:
End-to-End Spoken Language Understanding Using Joint CTC Loss and Self-Supervised, Pretrained Acoustic Encoders. ICASSP 2023: 1-5 - [c15]Grant P. Strimel, Yi Xie, Brian John King, Martin Radfar, Ariya Rastrow, Athanasios Mouchtaris:
Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers. ICML 2023: 32654-32676 - [c14]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 - [i15]Jixuan Wang, Martin Radfar, Kai Wei, Clement Chung:
End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders. CoRR abs/2305.02937 (2023) - 2022
- [c13]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 - [c12]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 - [c11]Xuandi Fu, Feng-Ju Chang, Martin Radfar, Kai Wei, Jing Liu, Grant P. Strimel, Kanthashree Mysore Sathyendra:
Multi-Task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding. ICASSP 2022: 7507-7511 - [c10]Yi Xie, Jonathan Macoskey, Martin Radfar, Feng-Ju Chang, Brian John King, Ariya Rastrow, Athanasios Mouchtaris, Grant P. Strimel:
Compute Cost Amortized Transformer for Streaming ASR. INTERSPEECH 2022: 3043-3047 - [c9]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 - [c8]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 - [i14]Xuandi Fu, Feng-Ju Chang, Martin Radfar, Kai Wei, Jing Liu, Grant P. Strimel, Kanthashree Mysore Sathyendra:
Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding. CoRR abs/2204.00558 (2022) - [i13]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) - [i12]Yi Xie, Jonathan Macoskey, Martin Radfar, Feng-Ju Chang, Brian John King, Ariya Rastrow, Athanasios Mouchtaris, Grant P. Strimel:
Compute Cost Amortized Transformer for Streaming ASR. CoRR abs/2207.02393 (2022) - [i11]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) - [i10]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
- [c7]Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung:
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling. AAAI 2021: 13943-13951 - [c6]Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann:
Context-Aware Transformer Transducer for Speech Recognition. ASRU 2021: 503-510 - [c5]Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Brian John King, Siegfried Kunzmann:
End-to-End Multi-Channel Transformer for Speech Recognition. ICASSP 2021: 5884-5888 - [c4]Aneesh Muppidi, Martin Radfar:
Speech Emotion Recognition Using Quaternion Convolutional Neural Networks. ICASSP 2021: 6309-6313 - [c3]Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo:
Multi-Channel Transformer Transducer for Speech Recognition. Interspeech 2021: 296-300 - [c2]Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann, Ariya Rastrow:
FANS: Fusing ASR and NLU for On-Device SLU. Interspeech 2021: 1224-1228 - [i9]Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Brian John King, Siegfried Kunzmann:
End-to-End Multi-Channel Transformer for Speech Recognition. CoRR abs/2102.03951 (2021) - [i8]Bradley He, Martin Radfar:
The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input. CoRR abs/2108.01245 (2021) - [i7]Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo:
Multi-Channel Transformer Transducer for Speech Recognition. CoRR abs/2108.12953 (2021) - [i6]Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann, Ariya Rastrow:
FANS: Fusing ASR and NLU for on-device SLU. CoRR abs/2111.00400 (2021) - [i5]Aneesh Muppidi, Martin Radfar:
Speech Emotion Recognition Using Quaternion Convolutional Neural Networks. CoRR abs/2111.00404 (2021) - [i4]Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann:
Context-Aware Transformer Transducer for Speech Recognition. CoRR abs/2111.03250 (2021) - 2020
- [c1]Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann:
End-to-End Neural Transformer Based Spoken Language Understanding. INTERSPEECH 2020: 866-870 - [i3]Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann:
End-to-End Neural Transformer Based Spoken Language Understanding. CoRR abs/2008.10984 (2020) - [i2]Bhuvan Agrawal, Markus Müller, Martin Radfar, Samridhi Choudhary, Athanasios Mouchtaris, Siegfried Kunzmann:
Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding. CoRR abs/2011.09044 (2020) - [i1]Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung:
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling. CoRR abs/2012.11689 (2020)
Coauthor Index
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