28 citations · 113 across the 24 of their papers we have counts for
10 papers · 1 filter
A Unified Framework for Speech Separation
Fahimeh Bahmaninezhad, Shi-Xiong Zhang, Yong Xu +3
Speech separation refers to extracting each individual speech source in a given mixed signal. Recent advancements in speech separation and ongoing research in this area, have made…
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition
Salar Jafarlou, Soheil Khorram, Vinay Kothapally +1
Despite significant efforts over the last few years to build a robust automatic speech recognition (ASR) system for different acoustic settings, the performance of the current stat…
Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition
Shahram Ghorbani, Soheil Khorram, John H. L. Hansen
Training acoustic models with sequentially incoming data -- while both leveraging new data and avoiding the forgetting effect-- is an essential obstacle to achieving human intellig…
Cross-lingual Text-independent Speaker Verification using Unsupervised Adversarial Discriminative Domain Adaptation
Wei Xia, Jing Huang, John H. L. Hansen
Speaker verification systems often degrade significantly when there is a language mismatch between training and testing data. Being able to improve cross-lingual speaker verificati…
Probabilistic Permutation Invariant Training for Speech Separation
Midia Yousefi, Soheil Khorram, John H. L. Hansen
Single-microphone, speaker-independent speech separation is normally performed through two steps: (i) separating the specific speech sources, and (ii) determining the best output-l…
Quantifying Cochlear Implant Users' Ability for Speaker Identification using CI Auditory Stimuli
Nursadul Mamun, Ria Ghosh, John H. L. Hansen
Speaker recognition is a biometric modality that uses underlying speech information to determine the identity of the speaker. Speaker Identification (SID) under noisy conditions is…