28 citations · 112 across the 23 of their papers we have counts for
7 papers · 1 filter
Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 Corpora
Szu-Jui Chen, Wei Xia, John H. L. Hansen
In this study, we propose to investigate triplet loss for the purpose of an alternative feature representation for ASR. We consider a general non-semantic speech representation, wh…
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…
Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams
Harishchandra Dubey, Abhijeet Sangwan, John Hansen
Speaker diarization determines who spoke and when? in an audio stream. In this study, we propose a model-based approach for robust speaker clustering using i-vectors. The ivectors…
Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients
Nursadul Mamun, Soheil Khorram, John H. L. Hansen
Attempts to develop speech enhancement algorithms with improved speech intelligibility for cochlear implant (CI) users have met with limited success. To improve speech enhancement…
Robust Speaker Clustering using Mixtures of von Mises-Fisher Distributions for Naturalistic Audio Streams
Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen
Speaker Diarization (i.e. determining who spoke and when?) for multi-speaker naturalistic interactions such as Peer-Led Team Learning (PLTL) sessions is a challenging task. In this…
Robust Feature Clustering for Unsupervised Speech Activity Detection
Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen
In certain applications such as zero-resource speech processing or very-low resource speech-language systems, it might not be feasible to collect speech activity detection (SAD) an…