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Analysis and Signal Processing
| Code: |
RHV14 |
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Acronym: |
APS |
| Scientific area: |
Sist. Informáticos e área Instrumentação e Medida |
Instance: 2014/2015 - 1S
Courses
| Acronym |
N. of students |
Study Plan |
Curricular year |
ECTS |
Contact hours |
Total Time |
| MRHV |
3 |
|
2º |
2,0 |
18 |
54,0 |
Docência - Responsabilidades
| Teacher |
Responsability |
| Nuno António Neves Nunes |
Head |
| Rui Pedro Batoreo Amaral |
Colaborador |
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Teaching language
Portuguese/English
Objectives, competences and learning Outcomes
The Analysis and Signal Processing course aims to equip students with introductory knowledge in areas that enable the acquisition and processing digital signals with particular emphasis on acoustics and physiology related to vocal production. The aim is an introduction to concepts, methods and applications in the processing and analysis of speech (voice), involving the acquisition and playback, digital processing, spectral analysis, to obtain the fundamental frequency and formant analysis. The student will develop skills to design and develop a system for signal acquisition in its various aspects, including the uptake, transduction, conditioning and A/D convertion. Regarding the digital signal processing, the student should master the concepts underlying the various techniques of processing and analyzing signals and knowing how to apply them in various software solutions available on the market (Matlab, Praat, CSL).
Main Contents
1. Signal acquisition
1.1 Signals measurement chain (Hardware)
1.2 transducer (microphone)
1.3 signal conditioner (preamplifier, analog filters)
1.4 A/D converters (sampling frequency, resolution, signal / noise)
2. Processing and signal analysis
2.1. Temporal representations
2.2. Spectral representations and Fourier analysis
2.3. Time-frequency representations
2.4. Analysis and signal processing (obtaining and analyzing the acoustic signal)
1.1. digital filters
1.2. computer solutions
3. Caring for the capture of the voice signal (clinical research)
3.1. Use and care in measuring chain
3.2. Acoustic conditions of local recording
3.3. Selection of acquisition parameters
4. Exploitation of software analysis and signal processing: matlab and Praat: acoustic samples of spoken and sung voice
5. Physiological signals: EMG, EEG; Magnatometria.
Teaching and Learning Strategies
The teaching methodology to use in this course is based on two components: lecture method and group work in the laboratory. Recourse will be to e-learning platform Moodle to support teaching, such as a repository of information, forum, delivery of work and testing of self assessment and evaluation. In addition to face contact in the classroom and times of doubt, students will also communicate with faculty through e-learning platform MOODLE. This platform will implement summative tests, educational tests and discussion forums.
Type of assessment
Assessment
The evaluation of the course consists of making an assessment test to be held in Moodle and practical work in groups to conduct involving the acquisition and analysis of voice signals. The component will have a test weight of 40% and a working weight of 60%.
Pass Standard
The evaluation of the course consists of making an assessment test to be held in Moodle and practical work in groups to conduct involving the acquisition and analysis of voice signals. The component will have a test weight of 40% and a working weight of 60%.
Mandatory Bibliography
Furui, Sadaoki (2001). Digital Speech Processing, Synthesis, and Recognition (Electrical and Computer Engineering). 2ª Ed. Marcel Dekker Inc. |
Mitra, Sanjit K. (2006). Digital signal processing: a computer based approach. 3ª Ed. Boston: McGraw-Hill. |
Oppenheim, Alan V. ; Schafer, Ronald W. (2009). Discrete-Time Signal Processing. 3ª Ed. Prentice-Hall. |
Oppenheim, Alan V. ; Willsky, Alan S. ; Hamid, S. (1996). Signals and Systems. 2ª Ed. Prentice Hall. |
Stearns, Samuel D. (2003). Digital signal processing: with examples in Matlab. CRC Press. |
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