Tyler Vuong

According to our database, Tyler Vuong authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

2023

Unsupervised Voice Type Discrimination Score Adaptation Using X-Vector Clusters.

Mark Lindsey, Tyler Vuong, Richard M. Stern

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022

Self-supervision and Learnable STRFs for Age, Emotion, and Country Prediction.

Roshan Sharma, Tyler Vuong, Mark Lindsey, Hira Dhamyal, Rita Singh, Bhiksha Raj

CoRR, 2022

Investigating the Important Temporal Modulations for Deep-Learning-Based Speech Activity Detection.

Tyler Vuong, Nikhil Madaan, Rohan Panda, Richard M. Stern

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Improved Modulation-Domain Loss for Neural-Network-based Speech Enhancement.

Tyler Vuong, Richard M. Stern

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

The Application of Learnable STRF Kernels to the 2021 Fearless Steps Phase-03 SAD Challenge.

Tyler Vuong, Yangyang Xia, Richard M. Stern

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

Generalized Spoofing Detection Inspired from Audio Generation Artifacts.

Yang Gao, Tyler Vuong, Mahsa Elyasi, Gaurav Bharaj, Rita Singh

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

A Modulation-Domain Loss for Neural-Network-Based Real-Time Speech Enhancement.

Tyler Vuong, Yangyang Xia, Richard M. Stern

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Learnable Spectro-Temporal Receptive Fields for Robust Voice Type Discrimination.

Tyler Vuong, Yangyang Xia, Richard M. Stern

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

2018

Natural Language Person Search Using Deep Reinforcement Learning.

Ankit Shah, Tyler Vuong

CoRR, 2018