End-to-End Neural Transformer Based Spoken Language Understanding. - Martin Radfar; Athanasios Mouchtaris; Siegfried Kunzmann (INTERSPEECH, 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)

Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling. - Jixuan Wang; Kai Wei; Martin Radfar; Weiwei Zhang; Clement Chung (AAAI, 2021)

Context-Aware Transformer Transducer for Speech Recognition. - Feng-Ju Chang; Jing Liu; Martin Radfar; Athanasios Mouchtaris; Maurizio Omologo; Ariya Rastrow; Siegfried Kunzmann (ASRU, 2021)

End-to-End Multi-Channel Transformer for Speech Recognition. - Feng-Ju Chang; Martin Radfar; Athanasios Mouchtaris; Brian John King; Siegfried Kunzmann (ICASSP, 2021)

Speech Emotion Recognition Using Quaternion Convolutional Neural Networks. - Aneesh Muppidi; Martin Radfar (ICASSP, 2021)

Multi-Channel Transformer Transducer for Speech Recognition. - Feng-Ju Chang; Martin Radfar; Athanasios Mouchtaris; Maurizio Omologo (Interspeech, 2021)

FANS: Fusing ASR and NLU for On-Device SLU. - Martin Radfar; Athanasios Mouchtaris; Siegfried Kunzmann; Ariya Rastrow (Interspeech, 2021)

The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input. - Bradley He; Martin Radfar (CoRR, 2021)

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 (ICASSP, 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 (ICASSP, 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 (ICASSP, 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 (INTERSPEECH, 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 (INTERSPEECH, 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 (SLT, 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)

End-to-End Spoken Language Understanding Using Joint CTC Loss and Self-Supervised, Pretrained Acoustic Encoders. - Jixuan Wang; Martin Radfar; Kai Wei; Clement Chung (ICASSP, 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 (ICML, 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 (INTERSPEECH, 2023)

Emohrnet: High-Resolution Neural Network Based Speech Emotion Recognition. - Akshay Muppidi; Martin Radfar (ICASSP, 2024)