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Description
Module Content
This course will present a model-based examination of how phonetics serves as a vital interface of human speech that converts a continuous (analogue) articulatory-acoustic space to a discrete digital (phonological) space. It will examine how this discretization process can simultaneously encode multiple layers of information, and how the process can be both theoretically and computationally modelled. It will cover issues relating to tone, intonation, coarticulation, timing, coordination, speech perception, and child language acquisition. For some of these aspects it will be demonstrated how computational models can be developed that integrates deterministic articulatory dynamics with data-driven machine learning algorithms.
Teaching Delivery
This module is taught by 1 x 1 hour lecture and 1 x 2 hr tutorial.
Indicative Topics
Indicative lecture topics are based on module content in 2023/24, subject to possible changes.
Module Aims and/or Objectives
The main module objectives are:
鈥� To provide students with knowledge about the state of the art in phonetics research;
鈥� To help students develop an understanding of the relationship between sound and message in human speech in terms of the underlying mechanisms of production, perception, acquisition and social interactions;
鈥� To introduce students with various models and theories of tone, intonation, the syllable and coarticulation.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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