Skripsi

IMPLEMENTASI MODEL DETEKSI WAKE WORD UNTUK INTELLIGENT VOICE ASSISTANT MENGGUNAKAN METODE CONVOLUTIONAL RECCURENT NEURAL NETWORK

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Penilaian

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Artificial Intelligence (AI) is a system that regulates human-machine interaction, especially through voice. Intelligent Voice Assistant (IVA) technology is a technology that uses voice to perform commands. There is an important aspect in IVA, namely Wake Word (WW) detection. WW is speech recognition found by word number identification (keyword). Wake Word used is the word "active". The Convolutional Recurrent Neural Network (CRNN) method is a combination of two neural networks involving CNN followed by RNN, by connecting the two CRNN networks to produce good and quite optimal results, especially for audio signals. CRNN has the advantage that in the convolutional layer there is an efficient feature extraction followed by a repeating layer that can extract information from the sequence of features generated by the convolutional layer. With the CRNN model, the results obtained for detecting the "active" sound in this study were an accuracy of 99.37%. Keyword: Artificial Intelligent, Wake Word, Intelligent Voice Assistant, Convolutional Recurrent Neural Network

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002707	T59290	T592902021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T592902021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xiv, 42 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.130 7

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

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Subject(s)

Bahasa Pemrograman
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

Win

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