Search Constraints
Number of results to display per page
Results for:
Color Theory and Application
Remove constraint Color Theory and Application
Resource Type
Video
Remove constraint Resource Type: Video
1 - 3 of 3
Search Results
-
Video
People are now regularly interacting with voice assistants (VAs), which are conversational agents that allow users to use spoken language to interface with a machine to complete tasks. The huge adoption and daily use of VAs by millions of people - and its increasing use for financial, healthcare, and educational applications - raises important questions about the linguistic and social factors that affect spoken language interactions with machines.
We are exploring issues of linguistic and social biases that impact speech communication in human-computer interaction - particularly during cross-language transfer, learning, or adaptation of some kind. In this talk, I will present two case studies illustrating some of our most recent work in this area. The first study looks at a case of cross-language ASR transfer. We find systematic linguistic and phonetic disparities in language transfer by machines trained on a source language to speech recognition of a novel target, low-resource language. The second study looks at a case of social bias in word learning by humans using voice-enabled apps. We find the word learning is inhibited when there are mismatching social cues presented by the voice and the linguistic information.
Together, along with highlights from other ongoing work in my lab, the aim of this talk is to underscore that human-computer linguistic communication is a rich testing ground for investigating issues in speech and language variation. Examining linguistic variation during HCI can enrich and elaborate linguistic theory, as well as present opportunities for linguists to provide insights for improving both the function and fairness of these technologies.
Event date: 25/03/2025
Speaker: Professor. Georgia ZELLOU (University of California, Davis)
Hosted by: Faculty of Humanities
- Subjects:
- Communication and Language and Languages
- Keywords:
- Linguistics English language -- Variation Speech processing systems English language -- Spoken English Human-computer interaction
- Resource Type:
- Video
-
Video
Convex Matrix Optimization (MOP) arises in a wide variety of applications. The last three decades have seen dramatic advances in the theory and practice of matrix optimization because of its extremely powerful modeling capability. In particular, semidefinite programming (SP) and its generalizations have been widely used to model problems in applications such as combinatorial and polynomial optimization, covariance matrix estimation, matrix completion and sensor network localization. The first part of the talk will describe the primal-dual interior-point methods (IPMs) implemented in SDPT3 for solving medium scale SP, followed by inexact IPMs (with linear systems solved by iterative solvers) for large scale SDP and discussions on their inherent limitations. The second part will present algorithmic advances for solving large scale SDP based on the proximal-point or augmented Lagrangian framework In particular, we describe the design and implementation of an augmented Lagrangian based method (called SDPNAL+) for solving SDP problems with large number of linear constraints. The last part of the talk will focus on recent advances on using a combination of local search methods and convex lifting to solve low-rank factorization models of SP problems.
Event date: 11/10/2022
Speaker: Prof. Kim-Chuan Toh (National University of Singapore)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Semidefinite programming Convex programming
- Resource Type:
- Video
-
Video
This video presents an overview of the Fourier Transform, which is one of the most important transformations in all of mathematical physics and engineering. This series will introduce the analytic theory of the Fourier Transform, along with the Fast Fourier Transform (FFT) algorithm for efficient computations. We will explore lots of applications in image compression, audio analysis, and solving partial differential equations.
- Course related:
- EIE3331 Communication Fundamentals, EE3312 Linear Systems, and EIE4413 Digital Signal Processing
- Subjects:
- Mathematics and Statistics
- Keywords:
- Fourier transformations
- Resource Type:
- Video