Acoustic Word Embeddings

Karen Livescu, TTI Abstract: For a number of speech tasks, it can be useful to represent speech segments of arbitrary length by ...

Machine learning models don't understand

CS230 Winter 2019 Project.

Title: Analyzing the Representational Geometry of

Want to play with the technology yourself? Explore our interactive demo → https://ibm.biz/BdKet3 Learn more about the ...

Original paper: https://arxiv.org/abs/2002.02109 Extended journal paper: https://arxiv.org/abs/2006.02295 Code: ...

Word embeddings

Karen Livescu, Associate Professor at TTI-Chicago, presents her work on

One of the most popular methods for assigning numbers to words is to use a Neural Network to create

Paper presentation for Automatic Speech Recognition and Understanding (ASRU) Workshop.

Title: Do

A

word2vec #llm Converting text into numbers is the first step in training any machine learning model for NLP tasks. While one-hot ...

In this episode of our Deep Learning Indaba Series, we're joined by Herman Kamper, Lecturer in the electrical and electronics ...

In this video we will discuss how exactly

Title: Lexical Density Analysis of Word Productions in Japanese English Using

NLP has seen some big leaps over the last couple of years thanks to

Title: Multilingual transfer of

Title of the presentation: Supervised

This video explains how to build