 | Study programme 2023-2024 | Français | |
 | Audio Processing | ||
Programme component of Master's in Electrical Engineering : Specialist Focus on Artificial Intelligence and Smart Communication (MONS) (day schedule) à la Faculty of Engineering |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| UI-M1-IRELAI-003-M | Compulsory UE | DUTOIT Thierry | F105 - Information, Signal et Intelligence artificielle |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Anglais | 20 | 16 | 0 | 0 | 0 | 4 | 4.00 | 2nd term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| I-ISIA-104 | Audio Processing | 20 | 16 | 0 | 0 | 0 | Q2 | 100.00% |
| Programme component | ||
|---|---|---|
 | UI-M1-IRELEC-002-M Signal Processing | |
Objectives of Programme's Learning Outcomes
- Imagine, implement and operate systems/solutions/software to address a complex problem in the field of electrical engineering as a source of information by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
- Based on modelling and experimentation, design one or more systems, solutions or hardware and/or software implementations, addressing the problem raised; evaluate them in light of various parameters of the specifications.
- Implement a chosen system/solution/software/circuit in the form of a schema, a flowchart, an algorithm, a prototype, a programme and/or digital model.
- Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, with a focus on Multimedia and Telecommunications, using their expertise and adaptability.
- Master and appropriately mobilise knowledge, models, methods and techniques related to the basics of electricity, electronics, automatic control, signal processing and analysis, telecommunications, advanced electronics and advanced microelectronics, computer science, wired and wireless telecommunications, signal processing, and human-machine interfaces.
- Identify and discuss possible applications of new and emerging technologies in the field of electrical engineering.
Learning Outcomes of UE
not applicable
UE Content: description and pedagogical relevance
SPEECH PROCESSING
* Speech analysis and coding
* Speech synthesis
* Speech Recognition
AUDIO PROCESSING
* MP3
* Audio signal analysis
* Multimédia information processing
Prior Experience
Signal Processing
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| I-ISIA-104 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| I-ISIA-104 |
|
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| I-ISIA-104 | Not applicable |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| I-ISIA-104 | Not applicable |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| I-ISIA-104 | Not applicable |
Grade Deferrals of AAs from one year to the next
| AA | Grade Deferrals of AAs from one year to the next |
|---|---|
| I-ISIA-104 | Authorized |
Term 2 Assessment - type
| AA | Type(s) and mode(s) of Q2 assessment |
|---|---|
| I-ISIA-104 |
|
Term 2 Assessment - comments
| AA | Term 2 Assessment - comments |
|---|---|
| I-ISIA-104 | Final oral exam, 100% |
Term 3 Assessment - type
| AA | Type(s) and mode(s) of Q3 assessment |
|---|---|
| I-ISIA-104 |
|
Term 3 Assessment - comments
| AA | Term 3 Assessment - comments |
|---|---|
| I-ISIA-104 | Final oral exam 100% |
(*) 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