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Menampilkan 1–2 dari 2 artikel
Optimizing Acoustic Fingerprinting for Synchronized Audio Binary Matching
Semma, Andi Bahtiar
; Kusrini, Kusrini
; Arief Setyanto
; da Silva, Bruno
; Braeken, An
As interconnected devices proliferate, secure and efficient pairing methods are critical. Environmental acoustic signals offer a promising solution, but their effectiveness depends on robust audio features that perform well across varying conditions. This study investigates optimal audio features for fingerprinting, focusing on synchronized audio in time-frequency domains. Six diverse datasets were collected across controlled environments to simulate real-world scenarios. Thirteen audio features...
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Systematic Literature Review terhadap Klasifikasi Emosi pada Lirik Lagu Berbahasa Ambon menggunakan Metode Bidirectional LSTM dengan Glove Word Representation Weighting
Kholida Zia Abidin
; Kholida Zia Abidin
; Arief Setyanto
; Rudyanto Arief
JURNAL ILMIAH KOMPUTER GRAFIS
Vol 4
, No 2
(2023)
One form of text that can express emotions is lyrics. Lyrics are a type of literary work expressed in the form of words, the contents of which can express the songwriter's personal feelings, thoughts, and emotions. Therefore, the lyrics can be used as an object of research on the classification of emotions. The classification of song lyrics really requires bi-LSTM to be the input value when classifying data in the form of song lyrics in order to get high accuracy results. This research was carri...
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