1 citations · 1 across the 8 of their papers we have counts for
11 papers
Clustering and Mining Accented Speech for Inclusive and Fair Speech Recognition
Jaeyoung Kim, Han Lu, Soheil Khorram +3
Modern automatic speech recognition (ASR) systems are typically trained on more than tens of thousands hours of speech data, which is one of the main factors for their great succes…
Contrastive Siamese Network for Semi-supervised Speech Recognition
Soheil Khorram, Jaeyoung Kim, Anshuman Tripathi +3
This paper introduces contrastive siamese (c-siam) network, an architecture for leveraging unlabeled acoustic data in speech recognition. c-siam is the first network that extracts…
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…
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…
Jointly Aligning and Predicting Continuous Emotion Annotations
Soheil Khorram, Melvin G McInnis, Emily Mower Provost
Time-continuous dimensional descriptions of emotions (e.g., arousal, valence) allow researchers to characterize short-time changes and to capture long-term trends in emotion expres…
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…
Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain
Soheil Khorram, Melvin G McInnis, Emily Mower Provost
DTW calculates the similarity or alignment between two signals, subject to temporal warping. However, its computational complexity grows exponentially with the number of time-serie…
The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild
Soheil Khorram, Mimansa Jaiswal, John Gideon +2
Bipolar Disorder is a chronic psychiatric illness characterized by pathological mood swings associated with severe disruptions in emotion regulation. Clinical monitoring of mood is…
Capturing Long-term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition
Soheil Khorram, Zakaria Aldeneh, Dimitrios Dimitriadis +2
The goal of continuous emotion recognition is to assign an emotion value to every frame in a sequence of acoustic features. We show that incorporating long-term temporal dependenci…
Progressive Neural Networks for Transfer Learning in Emotion Recognition
John Gideon, Soheil Khorram, Zakaria Aldeneh +2
Many paralinguistic tasks are closely related and thus representations learned in one domain can be leveraged for another. In this paper, we investigate how knowledge can be transf…