14 citations · 15 across the 4 of their papers we have counts for
4 papers
Scaling Forced Alignment to End-User Devices
Lawry Sorenson, Michael Crandall, Eric K. Ringger +1
The Viterbi algorithm has been previously used to perform forced alignment of audio to text to mine training data from online resources. However, many existing implementations have…
Out-Of-Bag Anomaly Detection
Egor Klevak, Sangdi Lin, Andy Martin +2
Data anomalies are ubiquitous in real world datasets, and can have an adverse impact on machine learning (ML) systems, such as automated home valuation. Detecting anomalies could m…
Match-Tensor: a Deep Relevance Model for Search
Aaron Jaech, Hetunandan Kamisetty, Eric Ringger +1
The application of Deep Neural Networks for ranking in search engines may obviate the need for the extensive feature engineering common to current learning-to-rank methods. However…
A Robust System for Natural Spoken Dialogue
James F. Allen, Bradford W. Miller, Eric K. Ringger +1
This paper describes a system that leads us to believe in the feasibility of constructing natural spoken dialogue systems in task-oriented domains. It specifically addresses the is…