43 citations · 51 across the 8 of their papers we have counts for
4 papers · 1 filter
Thinking in Directivity: Speech Large Language Model for Multi-Talker Directional Speech Recognition
Jiamin Xie, Ju Lin, Yiteng Huang +8
Recent studies have demonstrated that prompting large language models (LLM) with audio encodings enables effective speech recognition capabilities. However, the ability of Speech L…
A Modulation-Domain Loss for Neural-Network-based Real-time Speech Enhancement
Tyler Vuong, Yangyang Xia, Richard M. Stern
We describe a modulation-domain loss function for deep-learning-based speech enhancement systems. Learnable spectro-temporal receptive fields (STRFs) were adapted to optimize for a…
Learnable Spectro-temporal Receptive Fields for Robust Voice Type Discrimination
Tyler Vuong, Yangyang Xia, Richard Stern
Voice Type Discrimination (VTD) refers to discrimination between regions in a recording where speech was produced by speakers that are physically within proximity of the recording…
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks
Yuichiro Koyama, Tyler Vuong, Stefan Uhlich +1
Recently, deep neural networks (DNNs) have been successfully used for speech enhancement, and DNN-based speech enhancement is becoming an attractive research area. While time-frequ…