Audio pattern recognition
A.A. 2018/2019
Insegnamento per
Obiettivi formativi
- 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
Struttura insegnamento e programma
Linea Milano
Edizione attiva
Sì
Responsabile
STUDENTI FREQUENTANTI
Programma
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
Informazioni sul programma
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
Propedeuticità
digital signal processing, statistics
Prerequisiti e modalità di esame
digital signal processing, statistics
exam is project development and oral examination
Metodi didattici
Oral presentations and practice lessons
Materiale didattico e bibliografia
STUDENTI NON FREQUENTANTI
Books
1. Introduction to Data Mining (Second Edition) 2. Data Mining Practical Machine Learning Tools and Techniques (weka book) 3. Introduction to Audio Analysis 4. Speech Enhancement: Theory and Practice
Programma
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
Prerequisiti e modalità di esame
digital signal processing, statistics
exam is project development and oral examination
Materiale didattico e bibliografia
Books
1. Introduction to Data Mining (Second Edition) 2. Data Mining Practical Machine Learning Tools and Techniques (weka book) 3. Introduction to Audio Analysis 4. Speech Enhancement: Theory and Practice Periodo
Primo semestre
|
Periodo
Primo semestre
Modalità di valutazione
Esame
Giudizio di valutazione
voto verbalizzato in trentesimi
Docente/i