Hochschulschrift
Speech Recognition based Automatic Earthquake Detection and Classification
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Ludwig-Maximilians-Universität, Diss., 2011
- Schlagwort
-
Erdbeben
Seismologie
Messung
Testen
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Universitätsbibliothek der Ludwig-Maximilians-Universität
- (wann)
-
2011
- Urheber
- Beteiligte Personen und Organisationen
-
Igel, Heiner
- URN
-
urn:nbn:de:bvb:19-132557
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:49 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.
Objekttyp
- Hochschulschrift
Beteiligte
- Beyreuther, Moritz
- Igel, Heiner
- Universitätsbibliothek der Ludwig-Maximilians-Universität
Entstanden
- 2011
Ähnliche Objekte (12)
Automatic speech recognition for Amharic
Self-conducted speech audiometry using automatic speech recognition
Speech signal evaluation using automatic speech recognition systems
Danish Stød and Automatic Speech Recognition
Compensating hyperarticulation for automatic speech recognition
Contributions to turbo automatic speech recognition
Compensating hyperarticulation for automatic speech recognition
Quantization of automatic speech recognition networks
Automatic speech recognition for dialectal Arabic
Prediction of Human Listeners' Speech Recognition Performance Based on Automatic Speech Recognition
The automatic recognition of emotions in speech
Automatic speech recognition in adverse acoustic conditions
Automatic speech recognition for Amharic
Self-conducted speech audiometry using automatic speech recognition
Speech signal evaluation using automatic speech recognition systems
Danish Stød and Automatic Speech Recognition
Compensating hyperarticulation for automatic speech recognition
Contributions to turbo automatic speech recognition
Compensating hyperarticulation for automatic speech recognition
Quantization of automatic speech recognition networks
Automatic speech recognition for dialectal Arabic
Prediction of Human Listeners' Speech Recognition Performance Based on Automatic Speech Recognition
The automatic recognition of emotions in speech
Automatic speech recognition in adverse acoustic conditions
Automatic speech recognition for Amharic
Self-conducted speech audiometry using automatic speech recognition
Speech signal evaluation using automatic speech recognition systems
Danish Stød and Automatic Speech Recognition
Compensating hyperarticulation for automatic speech recognition
Contributions to turbo automatic speech recognition
Compensating hyperarticulation for automatic speech recognition
Quantization of automatic speech recognition networks
Automatic speech recognition for dialectal Arabic
Prediction of Human Listeners' Speech Recognition Performance Based on Automatic Speech Recognition
The automatic recognition of emotions in speech