164 citations · 430 across the 25 of their papers we have counts for
4 papers · 1 filter
Domain Adaptation For Formant Estimation Using Deep Learning
Yehoshua Dissen, Joseph Keshet, Jacob Goldberger +1
In this paper we present a domain adaptation technique for formant estimation using a deep network. We first train a deep learning network on a small read speech dataset. We then f…
Automatic measurement of vowel duration via structured prediction
Yossi Adi, Joseph Keshet, Emily Cibelli +3
A key barrier to making phonetic studies scalable and replicable is the need to rely on subjective, manual annotation. To help meet this challenge, a machine learning algorithm was…
Sequence Segmentation Using Joint RNN and Structured Prediction Models
Yossi Adi, Joseph Keshet, Emily Cibelli +1
We describe and analyze a simple and effective algorithm for sequence segmentation applied to speech processing tasks. We propose a neural architecture that is composed of two modu…
Context-Based Prediction of App Usage
Joseph Keshet, Adam Kariv, Arnon Dagan +2
There are around a hundred installed apps on an average smartphone. The high number of apps and the limited number of app icons that can be displayed on the device's screen require…