Księgarnia naukowa
English Polski
Dostęp on-line

Książki

0.00 PLN
Schowek (0) 
Schowek jest pusty
Automatic Speech Recognition: A Deep Learning Approach

Automatic Speech Recognition: A Deep Learning Approach

Autorzy
Wydawnictwo Springer London Ltd
Data wydania 11/11/2014
Liczba stron 321
Forma publikacji książka w twardej oprawie
Poziom zaawansowania Dla profesjonalistów, specjalistów i badaczy naukowych
ISBN 9781447157786
Kategorie Inżynieria akustyczna i dźwiękowa, Systemy i technologie powstawiania obrazów, Rozpoznawanie mowy
593.22 PLN (z VAT)
$152.54 / £126.42 / €136.49 /
Produkt na zamówienie
Przesyłka w 3-4 tygodnie
Ilość
Do schowka

Opis książki

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.

Automatic Speech Recognition: A Deep Learning Approach

Spis treści

Section 1: Automatic speech recognition: Background.- Feature extraction: basic frontend.- Acoustic model: Gaussian mixture hidden Markov model.- Language model: stochastic N-gram.- Historical reviews of speech recognition research: 1st, 2nd, 3rd, 3.5th, and 4th generations.- Section 2: Advanced feature extraction and transformation.- Unsupervised feature extraction.- Discriminative feature transformation.- Section 3: Advanced acoustic modeling.- Conditional random field (CRF) and hidden conditional random field (HCRF).- Deep-Structured CRF.- Semi-Markov conditional random field.- Deep stacking models.- Deep neural network - hidden Markov hybrid model.- Section 4: Advanced language modeling.- Discriminative Language model.- Log-linear language model.- Neural network language model.

Polecamy również książki

Strony www Białystok Warszawa
801 777 223