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Data-Driven Speech and Language Technology: From Small to Large Language Models

Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube

Tags

Machine Learning Courses Deep Learning Courses Neural Networks Courses Statistical Methods Courses Speech Recognition Courses Language Models Courses

Course Description

Overview

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Explore the evolution of data-driven speech and language technology in this 52-minute lecture by Hermann Ney, presented at the JSALT 2023 workshop. Delve into the progression from small models to large language models in the field of speech and language processing. Gain insights from Ney's expertise as he discusses the advancements and challenges in this rapidly evolving area. Learn about the impact of increasing data availability and computational power on model development. Understand the implications of these technological shifts for various applications in speech recognition, natural language processing, and machine translation. Benefit from this comprehensive overview of the current state and future directions of data-driven approaches in language technology.

Syllabus

Data-driven speech and language technology: from small to large (language) models -- Hermann Ney


Taught by

Center for Language & Speech Processing(CLSP), JHU

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