Results 111 to 120 of about 3,790,103 (166)
ArrayWhile speech spoofing detection techniques based on deep learning have performed well in the recent years, many deep learning-based speech spoofing detection methods based on convolutional neural networks (CNN), Recurrent Neural Networks (RNN), and ...
Rabbia Mahum +5 more
doaj +1 more source
, 2018 Emosi merupakan perilaku manusia yang dapat diungkapkan dengan tingkah laku berupa raut wajah dan suara. Suara adalah suatu gelombang longitudinal yang merambat di udara. Pada kehidupan sehari-hari manusia berkomunikasi dengan menggunakan suara. Baik itu
Helmiyah, Siti +2 more
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KONVERSI SINYAL SUARA KE VIDEO UNTUK TUNARUNGU MENGGUNAKAN METODE MEL-FREQUENCY CEPSTRAL COEFFICIENTS DAN K-NEAREST NEIGHBORS [PDF]
, 2019 ABSTRAK Komunikasi merupakan salah cara untuk berinteraksi dengan sesama manusia. Namun berbeda untuk orang tunarungu dalam berinteraksi dan berkomunikasi dengan sesama maupun dengan orang awam menggunakan Sistem Isyarat Bahasa Indonesia (SIBI) ataupun ...
HANIF CHANDRA MULYA
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PERANCANGAN DAN ANALISIS SISTEM SPEECH PROCESSING UNTUK TUNARUNGU MENGGUNAKAN METODE HIDDEN MARKOV MODEL DAN MEL-FREQUENCY CEPSTRAL COEFFICIENTS [PDF]
, 2019 ABSTRAK Mendengar merupakan salah satu cara untuk saling berkomunikasi. Namun hal itu membatasi untuk sebagian orang yang memiliki keterbatasan dalam bersosial khususnya orang penderita tunarungu.
BAGUS ROBBIYANTO
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Evaluation of the Vulnerability of Speaker Verification to Synthetic Speech [PDF]
, 2010 In this paper, we evaluate the vulnerability of a speaker verification (SV) system to synthetic speech. Although this problem was first examined over a decade ago, dramatic improvements in both SV and speech synthesis have renewed interest in this ...
Pucher, M. +4 more
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Voice Recognition and Marking Using Mel-frequency Cepstral Coefficients [PDF]
Sensors and Materials, 2020 Sheu, Jia-Shing, Chen, Ching-Wen
openaire +1 more source
Emotion Recognition from Speech Signal Using Mel-Frequency Cepstral Coefficients
, 2015 In this paper, mel-frequency cepstral coefficients are investigated for emotional content of speech signal. The features are extracted from spoken utterance.
ATASOY, AYTEN, KORKMAZ, Onur Erdem
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, 2005 A method for recognizing inhalations in spontaneous speech is presented. It is similar to the template matching technique; a distance measure is calculated between a reference sound and an equally long portion of the same sound being tracked.
Frid, Johan, +3 more
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Sistem Pengenal Wicara Menggunakan Mel-Frequency Cepstral Coefficient
Semesta Teknika, 2017 Human-machine interaction evolves toward a more adaptive and interactive system. There are several media that can be used in human-machine interaction systems, such as voice signals. The process includes converting analog signals into the appropriate meaning, which depend on the noise and reliability of signal characteristic extraction methods. In fact,
openaire +1 more source
MEL-FREQUENCY CEPSTRAL COEFFICIENTS AND SPECTRUM BASED ADDITIONAL FEATURES IN AUTOMATIC SPEAKER RECOGNITION [PDF]
The efficiency of the proposed automatic speaker recognizer is evaluated using two speech databases. The feature vector consists of 21 mel-frequency cepstral coefficients (MFCCs), along with up to three additional features derived from the amplitude ...
Delić, Vlado +3 more
core +1 more source