Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2014
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / B / Computational Intelligence / engineering / Image processing / Künstliche Intelligenz / Mensch-Computer-Interaktion / Natural language & machine translation / Natural language processing (Computer science) / Natural Language Processing (NLP) / Natürliche Sprachen und maschinelle Übersetzung / Signal Processing / Signal, Image and Speech Processing / Signal, Speech and Image Processing / Speech processing systems / User interface design & usability / User interfaces (Computer systems) / User Interfaces and Human Computer Interaction mehr...
ISBN:	9783642432101
EAN-Code:	9783642432101
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Signals and Communication Technology
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	2409 gr
Seiten:	134
Illustration:	XVIII, 134 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level.