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Deep Learning für die Klassifizierung von Sprachsignalen

Deep Learning für die Klassifizierung von Sprachsignalen

ARUN M / Dr. ANAND T / Dr. RAGUPATHY K

64,12 €
IVA incluido
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Empresa y gestión
ISBN:
9786204189307
64,12 €
IVA incluido
Disponible

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Sobre IBD

Die Klassifizierung von Sprachsignalen spielt eine entscheidende Rolle bei der Spracherkennung, Sprecheridentifikation, Emotionserkennung und Audioverarbeitung. Dieses Buch bietet einen umfassenden Leitfaden zur Nutzung von Deep-Learning-Techniken - insbesondere von Convolutional Neural Networks (CNNs) und Long Short-Term Memory (LSTM)-Netzwerken - für eine effektive Sprachsignalklassifizierung.Behandelte Hauptthemen:Grundlagen der Sprachverarbeitung - Verstehen von Sprachsignalen, Spektrogrammen und Merkmalsextraktionstechniken wie MFCCs. Einführung in Deep Learning - Überblick über neuronale Netze, CNNs für die Merkmalsextraktion und LSTMs für die Erfassung zeitlicher Abhängigkeiten.CNN-LSTM-Hybridmodell - Ein schrittweiser Ansatz zur Kombination von CNNs und LSTMs für eine verbesserte Genauigkeit der Sprachklassifizierung.

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