Audio Pattern Recognition
A.Y. 2025/2026
Learning objectives
The course aims at introducing the students to fundamental concepts of data mining algorithms and how these are adapted for needs of audio signal processing and recognition. The principal
statistical modeling techniques are presented inluding neural networks and hidden Markov models.
statistical modeling techniques are presented inluding neural networks and hidden Markov models.
Expected learning outcomes
The student is expected to understand the operation of the princical data mining algorithms. The student will gain the ability to design and implement the entire pipeline of an audio pattern
recognition system.
recognition system.
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
Single session
Course syllabus
The syllabus is shared with the following courses:
- [FBA-10](https://www.unimi.it/en/ugov/of/af20260000fba-10)
- [FBA-10](https://www.unimi.it/en/ugov/of/af20260000fba-10)
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Ntalampiras Stavros
Shifts:
Turno
Professor:
Ntalampiras StavrosProfessor(s)