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Głębokie uczenie na potrzeby klasyfikacji sygnału mowy

Głębokie uczenie na potrzeby klasyfikacji sygnału mowy

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

64,12 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Empresa y gestión
ISBN:
9786204189345
64,12 €
IVA incluido
Disponible

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Sobre IBD

Klasyfikacja sygnału mowy odgrywa kluczową rolę w rozpoznawaniu mowy, identyfikacji mówców, wykrywaniu emocji i przetwarzaniu dźwięku. Niniejsza książka stanowi kompleksowy przewodnik po wykorzystaniu technik głębokiego uczenia - w szczególności sieci neuronowych konwolucyjnych (CNN) i sieci z długą pamięcią krótkotrwałą (LSTM) - do skutecznej klasyfikacji sygnału mowy.Kluczowe tematy:Podstawy przetwarzania mowy - Zrozumienie sygnałów mowy, spektrogramów i technik ekstrakcji cech, takich jak MFCC . Wprowadzenie do głębokiego uczenia - Przegląd sieci neuronowych, CNN do ekstrakcji cech i LSTM do przechwytywania zależności czasowych.Model hybrydowy CNN-LSTM - Podejście krok po kroku do łączenia CNN i LSTM w celu poprawy dokładności klasyfikacji mowy.

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