Natural Language Person Search Using Deep Reinforcement Learning. - Ankit Shah; Tyler Vuong (CoRR, 2018)

Learnable Spectro-Temporal Receptive Fields for Robust Voice Type Discrimination. - Tyler Vuong; Yangyang Xia; Richard M. Stern (INTERSPEECH, 2020)

Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks. - Yuichiro Koyama; Tyler Vuong; Stefan Uhlich; Bhiksha Raj (CoRR, 2020)

A Modulation-Domain Loss for Neural-Network-Based Real-Time Speech Enhancement. - Tyler Vuong; Yangyang Xia; Richard M. Stern (ICASSP, 2021)

Generalized Spoofing Detection Inspired from Audio Generation Artifacts. - Yang Gao; Tyler Vuong; Mahsa Elyasi; Gaurav Bharaj; Rita Singh (Interspeech, 2021)

The Application of Learnable STRF Kernels to the 2021 Fearless Steps Phase-03 SAD Challenge. - Tyler Vuong; Yangyang Xia; Richard M. Stern (Interspeech, 2021)

Improved Modulation-Domain Loss for Neural-Network-based Speech Enhancement. - Tyler Vuong; Richard M. Stern (INTERSPEECH, 2022)

Investigating the Important Temporal Modulations for Deep-Learning-Based Speech Activity Detection. - Tyler Vuong; Nikhil Madaan; Rohan Panda; Richard M. Stern (SLT, 2022)

Self-supervision and Learnable STRFs for Age, Emotion, and Country Prediction. - Roshan Sharma 001; Tyler Vuong; Mark Lindsey; Hira Dhamyal; Rita Singh; Bhiksha Raj (CoRR, 2022)

AdaBERT-CTC: Leveraging BERT-CTC for Text-Only Domain Adaptation in ASR. - Tyler Vuong; Karel Mundnich; Dhanush Bekal; Veera Raghavendra Elluru; Srikanth Ronanki; Sravan Bodapati (EMNLP (Industry Track), 2023)

Unsupervised Voice Type Discrimination Score Adaptation Using X-Vector Clusters. - Mark Lindsey; Tyler Vuong; Richard M. Stern (ICASSP, 2023)

Thinking in Directivity: Speech Large Language Model for Multi-Talker Directional Speech Recognition. - Jiamin Xie; Ju Lin; Yiteng Huang; Tyler Vuong; Zhaojiang Lin; Zhaojun Yang; Peng Su; Prashant Rawat; Sangeeta Srivastava; Ming Sun 013; Florian Metze (CoRR, 2025)