Technological Resources for Evaluation

Year
1
Academic year
2018-2019
Code
02036798
Subject Area
Teachers education in technological areas
Language of Instruction
English
Mode of Delivery
B-learning
Duration
QUARTERIAL
ECTS Credits
12.0
Type
Compulsory
Level
Non Degree Course

Recommended Prerequisites

NA

Teaching Methods

The weekly hours will be focussed on the development of autonomy and of critical thinking, by means of reading important scientific bibliography, understanding the contents of audiovisual material, solving specific problems and case studies. Peer-learning will also be encouraged though specialy designated foruns.

Learning Outcomes

•    Know different methods for direct visualization of the vocal folds and respective applications
•    Develop competences in recordings and calibrations of different types of vocal signals, for both speaking and singing productions
•    Identify problems with vocal signals
•    Perform acoustical analysis of the voice
•    Interprete different graphical representations of voice signals
•    Know how to make inverse filtering and extract voice source parameters
•    Develop aptitudes in the interpretation of parameters related to the pattern of vibration of the vocal folds
•    Acquire competences in the handling software that allows the estimation of physiological parameters of phonation
•    Know how to non-invasively extract aerodynamic parameters of voice production
•    Take decisions in sellecting the most appropriate types of data collection and analyses for the purposes of answering different research questions
•    Know signal processing methods

Work Placement(s)

No

Syllabus

  • Methods of direct visualization of the vocal folds and respective clinical applications
  • Multichannel recording techniques: audio, electrolaringographic and aerodynamic signals
  • Signal calibration
  • Acoustical vocal parameters
  • Acoustical analysis
  • Interpretation of narrow and wide band spectrograms, of phonetograms and of fluxograms
  • Extraction of long-term-average spectrograms (LTAS) associated measures
  • Analysis of electrolaryngographic/ electroglottographic signals
  • Analysis of physiological parameters of phonation
  • Inverse filtering and associated measures
  • Aerodynamic measures of voice analysis
  • Signal processing tecniques

Head Lecturer(s)

Filipa Martins Baptista Lã

Assessment Methods

Assessment
The evaluation of this module consists of practical exercises involving the analysis (50% of the final classification) and interpretation (50% of the final classification) of different types of vocal signals: 100.0%

Bibliography

  • Baken, R.J. & Orlikoff, R.F. (2000). Clinical Measurement of Speech and Voice. San Diego: Singular Thomson Learning.
  • Gramming, P. (1988). The Phonetogram: an experimental and clinical study. Skurup: Lidbergs Blankett.
  • Ma, E. P.-M. & Yiu, E.M.-L. (2011). Handbook of Voice Assessment. Oxford: Plural Publishing Inc.

Titze, I.R. & Abbott, K.V. (2012). Vocology: The Science and Practice of Voice Habilitation. Slat Lake City: National Center for Voice and Speech.