Presentation Title
Speaker recognition with short utterances: A literature analysis
Panel Name
Emerging Technologies in Homeland Security and Emergency Preparedness
Location
Lecture Center Concourse
Start Date
3-5-2019 3:00 PM
End Date
3-5-2019 5:00 PM
Presentation Type
Poster Session
Academic Major
Business
Abstract
Voice-based speaker recognition is currently one of the fastest growing technologies and supports important applications such as smart homes and bio-metric security. To improve efficiency and ease of use, the desire to enable accurate voice recognition methods using short utterances has increased dramatically. Because short utterances provide less data, clustering of speech units obtained from short utterances is often needed to provide high accuracy speaker recognition, which presents additional challenges for data processing. The project will analyze a plethora of related papers on the topic of short utterances in speaker-based voice recognition and conduct a comparative study. More specifically, this project will attempt to aggregate and identify the current state of voice-based speaker recognition using short utterances, how the use of short utterances challenges traditional speaker recognition methods, and future avenues for improvement.
Select Where This Work Originated From
Course assignment/project
First Faculty Advisor
Liyue Fan
First Advisor Email
liyuefan@albany.edu
The work you will be presenting can best be described as
Finished or mostly finished by conference date
Speaker recognition with short utterances: A literature analysis
Lecture Center Concourse
Voice-based speaker recognition is currently one of the fastest growing technologies and supports important applications such as smart homes and bio-metric security. To improve efficiency and ease of use, the desire to enable accurate voice recognition methods using short utterances has increased dramatically. Because short utterances provide less data, clustering of speech units obtained from short utterances is often needed to provide high accuracy speaker recognition, which presents additional challenges for data processing. The project will analyze a plethora of related papers on the topic of short utterances in speaker-based voice recognition and conduct a comparative study. More specifically, this project will attempt to aggregate and identify the current state of voice-based speaker recognition using short utterances, how the use of short utterances challenges traditional speaker recognition methods, and future avenues for improvement.