Audio Pattern Recognition
A.Y. 2018/2019
Learning objectives
- Understand the operation of standard data mining tools
- Ability to design and implement the entire pipeline of an audio pattern recognition system
- Ability to design and implement the entire pipeline of an audio pattern recognition system
Expected learning outcomes
Undefined
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Milan
Responsible
Lesson period
First semester
ATTENDING STUDENTS
Course syllabus
NON-ATTENDING STUDENTS
Data mining
-statistics
-clustering
-classification
-anomaly detection
Audio analysis
-signal transformations
-filtering
-feature extraction
-pattern recognition
-alignment and temporal modeling
-music information retrieval
-audio enhancement
-statistics
-clustering
-classification
-anomaly detection
Audio analysis
-signal transformations
-filtering
-feature extraction
-pattern recognition
-alignment and temporal modeling
-music information retrieval
-audio enhancement
Course syllabus
Data mining
-statistics
-clustering
-classification
-anomaly detection
Audio analysis
-signal transformations
-filtering
-feature extraction
-pattern recognition
-alignment and temporal modeling
-music information retrieval
-audio enhancement
-statistics
-clustering
-classification
-anomaly detection
Audio analysis
-signal transformations
-filtering
-feature extraction
-pattern recognition
-alignment and temporal modeling
-music information retrieval
-audio enhancement
Professor(s)