Students

SPHL3308 – Speech Production

2026 – Session 1, In person-scheduled-weekday, North Ryde

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit Convener
Michael Proctor
Tutor
Conor Clements
Tutor
Emily Chen
Director, Linguistics Undergraduate Studies
Felicity Cox
Credit points Credit points
10
Prerequisites Prerequisites
50cp at 2000 level or above including LING2217 or SPHL2216 or SPHL299 or SPH399
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

Speech is one of the most complex, yet most natural human behaviours, involving fine coordination of rapidly moving articulators. In this unit, we explore the mechanisms used by speakers of all languages to produce different consonants, vowels, syllables, and larger phonological structures, in infinitely expressive ways. We examine the anatomy and physiology of respiration, phonation, and articulation; the neuroanatomy and neurophysiology of speech and language; development and evolution of speech; and methods used for studying speech production. Practical exercises include analysis of speech gestures in articulographic data.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Explain the anatomical and physiological processes involved in speech production and language processing, and how they work together to produce speech (Scientist and Scholar)
  • ULO2: Analyse and interpret speech data collected using instrumental phonetic methods, applying theoretical knowledge of phonetics to inform your findings. (Practitioner)
  • ULO3: Describe the evolution, development, and aging processes related to speech production, and explain how these processes impact speech at various life stages. (Citizen)
  • ULO4: Use articulographic analysis to investigate speech gestures and coarticulation, applying research methods to enhance understanding of speech production. (Professional)
  • ULO5: Engage in a research rich environment. (Professional)

General Assessment Information

Grade descriptors and other information concerning grading are contained in the Macquarie University Assessment Policy.

All final grades are determined by a grading committee, in accordance with the Macquarie University Assessment Policy, and are not the sole responsibility of the Unit Convenor.

Students will be awarded a final grade and a mark which must correspond to the grade descriptors specified in the Assessment Procedure (clause 128).

To pass this unit, you must demonstrate sufficient evidence of achievement of the learning outcomes, meet any ungraded requirements, and achieve a final mark of 50 or better.

Further details for each assessment task will be available on iLearn.

Late Submissions

Unless a Special Consideration request has been submitted and approved, a 5% penalty (OF THE TOTAL POSSIBLE MARK) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11.55pm. A 1-hour grace period is provided to students who experience a technical concern.  

For example:

Number of days (hours) late

Total Possible Marks

Deduction

Raw mark

Final mark

1 day (1-24 hours)

100

5

75

70

2 days (24-48 hours)

100

10

75

65

3 days (48-72 hours)

100

15

75

60

7 days (144-168 hours) 

100

35

75

40

>7 days (>168 hours)

100

-

75

0

For any late submissions of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to submit an application for Special Consideration.

Assessment Tasks

Name Weighting Hurdle Due Groupwork/Individual Short Extension AI Approach
Final Exam 30% No Exam Period Individual No Observed
Articulographic Analysis 25% No 20/04/2026 Individual Yes Open
Speech Data Analysis Portfolio 45% No Weeks 2, 4, 8, 11 Individual No Open

Final Exam

Assessment Type 1: Examination
Indicative Time on Task 2: 27 hours
Due: Exam Period
Weighting: 30%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Observed

You will complete a written exam that assesses your knowledge of the key concepts and theories covered in the unit. The exam will require you to provide extended responses to a variety of questions and problems that relate to speech production, the anatomical processes, and the analysis of speech data.


On successful completion you will be able to:
  • Explain the anatomical and physiological processes involved in speech production and language processing, and how they work together to produce speech (Scientist and Scholar)
  • Analyse and interpret speech data collected using instrumental phonetic methods, applying theoretical knowledge of phonetics to inform your findings. (Practitioner)
  • Describe the evolution, development, and aging processes related to speech production, and explain how these processes impact speech at various life stages. (Citizen)
  • Use articulographic analysis to investigate speech gestures and coarticulation, applying research methods to enhance understanding of speech production. (Professional)

Articulographic Analysis

Assessment Type 1: Written Submission
Indicative Time on Task 2: 23 hours
Due: 20/04/2026
Weighting: 25%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open

In this task, you will identify and analyse the speech gestures underlying consonants and vowels in real speech utterances. You will use articulographic tools to examine speech gestures and you will present a report demonstrating your understanding of coarticulatory processes, and the relationship between articulation and the acoustic speech signal. 


On successful completion you will be able to:
  • Explain the anatomical and physiological processes involved in speech production and language processing, and how they work together to produce speech (Scientist and Scholar)
  • Analyse and interpret speech data collected using instrumental phonetic methods, applying theoretical knowledge of phonetics to inform your findings. (Practitioner)
  • Use articulographic analysis to investigate speech gestures and coarticulation, applying research methods to enhance understanding of speech production. (Professional)
  • Engage in a research rich environment. (Professional)

Speech Data Analysis Portfolio

Assessment Type 1: Portfolio
Indicative Time on Task 2: 40 hours
Due: Weeks 2, 4, 8, 11
Weighting: 45%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Open

In the Speech Data Analysis Portfolio you will compile a collection of evidence demonstrating your understanding of speech physiology and key methods and tools used to study speech production. You will apply theoretical knowledge in the analyses of real speech data to demonstrate insights into the phonetic properties of speech.

 


On successful completion you will be able to:
  • Explain the anatomical and physiological processes involved in speech production and language processing, and how they work together to produce speech (Scientist and Scholar)
  • Analyse and interpret speech data collected using instrumental phonetic methods, applying theoretical knowledge of phonetics to inform your findings. (Practitioner)
  • Engage in a research rich environment. (Professional)

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • Academic Success for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.

3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.

Delivery and Resources

This unit is designed to foster a detailed understanding of the mechanisms of speech production, including speech anatomy and speech physiology, and the methods used to study speech production processes. The unit provides students with essential theoretical and practical skills that are fundamental to understanding speech and hearing, and which underpin clinic careers in these fields.

Topics include: respiratory physiology and anatomy; laryngeal anatomy; phonation; articulatory anatomy and physiology; articulatory investigative techniques; neuroanatomy and neurophysiology; and developmental aspects of speech production.

You will engage in a range of online and face-to-face learning activities, including readings, lectures, multimedia materials, problem sets, workshops, seminars, and assessment tasks. In workshops and assessment tasks, you will analyze speech data to consolidate your understanding of breathing, phonation, articulation, and the ways that these mechanisms combine to produce different types of speech. Seminars will be held each week after students have engaged with all learning materials and attended workshops, to support your learning and allow you to test your understanding progressively throughout the semester. Preparation for and attendance at all classes is expected.

Unit Schedule

Details of all topics, readings, class schedules, and assessment tasks are provided on iLearn, and updated each week. It is your responsibility to consult iLearn regularly and make sure you are prepared for each class by familiarizing yourself with all learning resources and requirements.

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct

Results

Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Academic Integrity

At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Academic Success

Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Macquarie University offers a range of Student Support Services including:

Student Enquiries

Got a question? Ask us via the Service Connect Portal, or contact Service Connect.

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.

Artificial Intelligence Tools

Macquarie University recognises that artificial intelligence (AI), especially generative AI, is rapidly reshaping education and the modern workplace. As AI becomes increasingly accessible, the University and your teaching staff are committed to preparing you to use these tools effectively, ethically, and with strong professional judgment. Rather than restricting technology, the emphasis is on helping you understand when and how AI can be used to enhance productivity, support learning, and reflect real-world professional practice. Across your degree, we will support you to develop the critical thinking, adaptability, and values-based decision-making skills required to navigate evolving AI tools responsibly, including acknowledging their use appropriately.  You should always appropriately acknowledge when you have used AI tools within assessment tasks, including which AI tools you have used and how you have used them.

To provide clarity, Macquarie University uses a simple, two-tiered approach to AI in assessment:

  • AI Open assessments allow you to fully incorporate AI, reflecting authentic tasks where AI would normally be used in professional settings
  • Observed with AI Optional assessments involve tasks where you either demonstrate essential knowledge without technology or show how you apply AI under supervision

Across both categories, the goal is to ensure you build foundational knowledge, exercise sound judgment, and engage with AI in ways that uphold ethical, cultural, and university values.

Inclusion and Diversity

Social inclusion at Macquarie University is about giving everyone who has the potential to benefit from higher education the opportunity to study at university, participate in campus life and flourish in their chosen field. The University has made significant moves to promote an equitable, diverse and exciting campus community for the benefit of staff and students. It is your responsibility to contribute towards the development of an inclusive culture and practice in the areas of learning and teaching, research, and service orientation and delivery. As a member of the Macquarie University community, you must not discriminate against or harass others based on their sex, gender, race, marital status, carers' responsibilities, disability, sexual orientation, age, political conviction or religious belief. All staff and students are expected to display appropriate behaviour that is conducive to a healthy learning environment for everyone.

Professionalism

In the Faculty of Medicine, Health and Human Sciences, professionalism is a key capability embedded in all our courses.

As part of developing professionalism, students are expected to attend all small group interactive sessions including clinical, practical, laboratory, work-integrated learning (e.g., PACE placements), and team-based learning activities. Some learning activities are recorded (e.g., face-to-face lectures), however you are encouraged to avoid relying upon such material as they do not recreate the whole learning experience and technical issues can and do occur. As an adult learner, we respect your decision to choose how you engage with your learning, but we would remind you that the learning opportunities we create for you have been done so to enable your success, and that by not engaging you may impact your ability to successfully complete this unit. We equally expect that you show respect for the academic staff who have worked hard to develop meaningful activities and prioritise your learning by communicating with them in advance if you are unable to attend a small group interactive session.

Another dimension of professionalism is having respect for your peers. It is the right of every student to learn in an environment that is free of disruption and distraction. Please arrive to all learning activities on time, and if you are unavoidably detained, please join activity as quietly as possible to minimise disruption. Phones and other electronic devices that produce noise and other distractions must be turned off prior to entering class. Where your own device (e.g., laptop) is being used for class-related activities, you are asked to close down all other applications to avoid distraction to you and others. Please treat your fellow students with the utmost respect. If you are uncomfortable participating in any specific activity, please let the relevant academic know.


Unit information based on version 2026.03 of the Handbook