96 citations · 280 across the 33 of their papers we have counts for
6 papers · 1 filter
Investigating the Effects of Word Substitution Errors on Sentence Embeddings
Rohit Voleti, Julie M. Liss, Visar Berisha
A key initial step in several natural language processing (NLP) tasks involves embedding phrases of text to vectors of real numbers that preserve semantic meaning. To that end, sev…
Triplet Network with Attention for Speaker Diarization
Huan Song, Megan Willi, Jayaraman J. Thiagarajan +2
In automatic speech processing systems, speaker diarization is a crucial front-end component to separate segments from different speakers. Inspired by the recent success of deep ne…
Investigating the role of L1 in automatic pronunciation evaluation of L2 speech
Ming Tu, Anna Grabek, Julie Liss +1
Automatic pronunciation evaluation plays an important role in pronunciation training and second language education. This field draws heavily on concepts from automatic speech recog…
Simulating dysarthric speech for training data augmentation in clinical speech applications
Yishan Jiao, Ming Tu, Visar Berisha +1
Training machine learning algorithms for speech applications requires large, labeled training data sets. This is problematic for clinical applications where obtaining such data is…
Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression
Shihui Yin, Gaurav Srivastava, Shreyas K. Venkataramanaiah +3
Deep learning algorithms have shown tremendous success in many recognition tasks; however, these algorithms typically include a deep neural network (DNN) structure and a large numb…
A Discriminative Acoustic-Prosodic Approach for Measuring Local Entrainment
Megan M. Willi, Stephanie A. Borrie, Tyson S. Barrett +2
Acoustic-prosodic entrainment describes the tendency of humans to align or adapt their speech acoustics to each other in conversation. This alignment of spoken behavior has importa…