Study programme 2018-2019Français
Digital Speech Processing
Programme component of Specialised Master degree in Language Sciences - Speech SciencesResearch Institute for Language science and Technology
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UL-S1-SCPARL-101-MCompulsory UEHUET KathyP362 - Métrologie et Sciences du langage
  • HUET Kathy

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français03000055.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
L-ISCL-950Digital Speech Processing030000Q2100.00%
Programme component

Objectives of Programme's Learning Outcomes

  • Have a complete understanding. Analyse any communicative situation (real or depicted) in reference to the theoretical and methodological frameworks within various scientific approaches to language.
    • Master and appropriately mobilise knowledge and methodological approaches to understand and explain the normal/atypical/pathological functioning of individuals, groups or organisations, using any form of language.
    • Analyse and model a communicative situation (individually or collectively) by critically selecting isolated theories and suitable methodological approaches.
  • Communicate effectively. Communicate and exchange information in a structured and adapted way to the intended purpose and relevant public.
    • Present and structure data in a clear, precise, neutral, and non-oriented way.
    • Present (orally and in writing) the results of an intervention (study, analysis, investigation, etc.) to adequately inform a target audience.
  • Have a willingness to keep learning. Assess and pursue professional and personal development.
    • Monitor knowledge and methodological approaches in order to evolve their thinking and practice.
  • Adopt a scientific approach. Master the scientific approaches in language sciences.
    • Collect data and thoroughly analyse it qualitatively and quantitatively.
    • Adequately interpret results taking into account the reference framework within which the research was developed.
  • Have a complete understanding. Analyse any communicative situation (real or depicted) in reference to the theoretical and methodological frameworks within various scientific approaches to language.
    • Master and appropriately mobilise knowledge and methodological approaches to understand and explain the normal/atypical/pathological functioning of individuals, groups or organisations, using any form of language.
    • Analyse and model a communicative situation (individually or collectively) by critically selecting isolated theories and suitable methodological approaches.
  • Communicate effectively. Communicate and exchange information in a structured and adapted way to the intended purpose and relevant public.
    • Present and structure data in a clear, precise, neutral, and non-oriented way.
    • Present (orally and in writing) the results of an intervention (study, analysis, investigation, etc.) to adequately inform a target audience.
  • Have a willingness to keep learning. Assess and pursue professional and personal development.
    • Monitor knowledge and methodological approaches in order to evolve their thinking and practice.
  • Adopt a scientific approach. Master the scientific approaches in language sciences.
    • Collect data and thoroughly analyse it qualitatively and quantitatively.
    • Adequately interpret results taking into account the reference framework within which the research was developed.
  • Adopt a specialist approach to Speech Sciences. Master the concepts, techniques, methods, and devices specific to speech sciences so that they can be used in research practice.
    • Master basic speech signal analysis techniques.
    • Master the basic concepts of phonetics.

Learning Outcomes of UE

The student will have acquired an overview of the diverse quantitative treatments applicable to the signals of speech. He will be capable of selecting the quantitative treatments the best adapted to a type of objectives and a type of signals beforehand defined; to criticize and estimate choices operated within the framework of a concrete application in the field of the signal processing, by identifying the biases or the artefacts. He will be capable of putting into practice its new knowledge around some of these quantitative procedures of signal processing of speech. He will have acquired a good knowledge of the specific characteristics of the signal of speech and an overview of techniques and technologies associated with the signal processing : analysis, coding and compression, synthesis and recognition. He will be able to approach works or training courses specialized in one of these domains.

Content of UE

Notions of acoustics and phonetics for the speech signal processing. Digital representations of the acoustic signals. Principles of the digital coding. Analysis of Fourier of sampled and quantified signals.

Prior Experience

Not applicable

Type of Assessment for UE in Q2

  • Presentation and/or works
  • Practical test

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Presentation and/or works
  • Practical Test

Q3 UE Assessment Comments

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
L-ISCL-950
  • Travaux pratiques
  • Travaux de laboratoire
  • Exercices de création et recherche en atelier
  • Projet sur ordinateur
  • Etudes de cas

Mode of delivery

AAMode of delivery
L-ISCL-950
  • Mixed

Required Reading

AA
L-ISCL-950

Required Learning Resources/Tools

AARequired Learning Resources/Tools
L-ISCL-950Not applicable

Recommended Reading

AA
L-ISCL-950

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
L-ISCL-950Not applicable

Other Recommended Reading

AAOther Recommended Reading
L-ISCL-950Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
L-ISCL-950Authorized
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 02/05/2019
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be