Acoustic keyword spotter - optimization from end-user perspective

The paper deals with the development of acoustic keyword spotter (KWS) meeting requirements of a real user from the security community. While the basic scheme of the KWS is relatively standard, it uses novel features derived by a hierarchy of neural networks, and score normalization trained to maxim...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Szöke, Igor, Grézl, F, Černocký, J, Fapšo, M, Cipr, Tomáš
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustics Artificial neural networks Calibration Context Discrete cosine transforms Estimation keyword spotting neural networks Speech spoken term detection
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!