Martin Radfar

According to our database, Martin Radfar authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

2024

Emohrnet: High-Resolution Neural Network Based Speech Emotion Recognition.

Akshay Muppidi, Martin Radfar

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

Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers.

Grant P. Strimel, Yi Xie, Brian John King, Martin Radfar, Ariya Rastrow, Athanasios Mouchtaris

Proceedings of the International Conference on Machine Learning, 2023

End-to-End Spoken Language Understanding Using Joint CTC Loss and Self-Supervised, Pretrained Acoustic Encoders.

Jixuan Wang, Martin Radfar, Kai Wei, Clement Chung

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

Compute Cost Amortized Transformer for Streaming ASR.

Yi Xie, Jonathan Macoskey, Martin Radfar, Feng-Ju Chang, Brian John King, Ariya Rastrow, Athanasios Mouchtaris, Grant P. Strimel

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

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

Multi-Task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding.

Xuandi Fu, Feng-Ju Chang, Martin Radfar, Kai Wei, Jing Liu, Grant P. Strimel, Kanthashree Mysore Sathyendra

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

2021

The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input.

Bradley He, Martin Radfar

CoRR, 2021

FANS: Fusing ASR and NLU for On-Device SLU.

Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann, Ariya Rastrow

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Multi-Channel Transformer Transducer for Speech Recognition.

Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Speech Emotion Recognition Using Quaternion Convolutional Neural Networks.

Aneesh Muppidi, Martin Radfar

Proceedings of the IEEE International Conference on Acoustics, 2021

End-to-End Multi-Channel Transformer for Speech Recognition.

Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Brian John King, Siegfried Kunzmann

Proceedings of the IEEE International Conference on Acoustics, 2021

Context-Aware Transformer Transducer for Speech Recognition.

Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann

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

Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling.

Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Bhuvan Agrawal, Markus Müller, Martin Radfar, Samridhi Choudhary, Athanasios Mouchtaris, Siegfried Kunzmann

CoRR, 2020

End-to-End Neural Transformer Based Spoken Language Understanding.

Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann

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