- Weitere Titel
-
Tiefes Lernen von Repräsentationen aus Audiosignalen
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Technische Universität München, Dissertation, 2019
- Schlagwort
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Universitätsbibliothek der TU München
- (wann)
-
2019
- Urheber
-
Amiriparian, Shahin
- Beteiligte Personen und Organisationen
-
Schuller, Björn W.
Schuller, Björn W.
Haddadin, Sami
- URN
-
urn:nbn:de:bvb:91-diss-20191220-1463108-1-8
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Amiriparian, Shahin
- Schuller, Björn W.
- Haddadin, Sami
- Universitätsbibliothek der TU München
Entstanden
- 2019
Ähnliche Objekte (12)
Processing Music Signals Using Audio Decomposition Techniques
Analyzing Sample-Based Electronic Music Using Audio Processing Techniques
Analyzing Sample-Based Electronic Music Using Audio Processing Techniques
Real-Time Audio Processing on a Raspberry Pi using Deep Neural Networks
Boundary Representation Modelling Techniques
Deep learning approaches for adaptive audio processing and binary classification in digital health
Audio processing using Haskell
Deep face lifting techniques
Advanced techniques for audio watermarking
Natural Audio Data Augmentation Techniques
"Are you playing a shooter again?!": Deep representation learning for audio-based video game genre recognition
Deep learning for free indirect representation
Processing Music Signals Using Audio Decomposition Techniques
Analyzing Sample-Based Electronic Music Using Audio Processing Techniques
Analyzing Sample-Based Electronic Music Using Audio Processing Techniques
Real-Time Audio Processing on a Raspberry Pi using Deep Neural Networks
Boundary Representation Modelling Techniques
Deep learning approaches for adaptive audio processing and binary classification in digital health
Audio processing using Haskell
Deep face lifting techniques
Advanced techniques for audio watermarking
Natural Audio Data Augmentation Techniques
"Are you playing a shooter again?!": Deep representation learning for audio-based video game genre recognition
Deep learning for free indirect representation
Processing Music Signals Using Audio Decomposition Techniques
Analyzing Sample-Based Electronic Music Using Audio Processing Techniques
Analyzing Sample-Based Electronic Music Using Audio Processing Techniques
Real-Time Audio Processing on a Raspberry Pi using Deep Neural Networks
Boundary Representation Modelling Techniques
Deep learning approaches for adaptive audio processing and binary classification in digital health
Audio processing using Haskell
Deep face lifting techniques
Advanced techniques for audio watermarking
Natural Audio Data Augmentation Techniques
"Are you playing a shooter again?!": Deep representation learning for audio-based video game genre recognition