Audio pattern recognition

A.A. 2018/2019
Insegnamento per
6
Crediti massimi
48
Ore totali
SSD
INF/01
Lingua
Inglese
Obiettivi formativi
- Understand the operation of standard data mining tools
- Ability to design and implement the entire pipeline of an audio pattern recognition system

Struttura insegnamento e programma

Linea Milano
Edizione attiva
Responsabile
INF/01 - INFORMATICA - CFU: 6
Lezioni: 48 ore
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
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
STUDENTI NON 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
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
Ricevimento:
appuntamento
via Celoria 18