Results 121 to 130 of about 2,981,759 (215)

Evaluation of the Vulnerability of Speaker Verification to Synthetic Speech [PDF]

open access: yes, 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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KONVERSI SINYAL SUARA KE VIDEO UNTUK TUNARUNGU MENGGUNAKAN METODE MEL-FREQUENCY CEPSTRAL COEFFICIENTS DAN K-NEAREST NEIGHBORS [PDF]

open access: yes, 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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New time-frequency derived cepstral coefficients for automatic speech recognition [PDF]

open access: yes
The goal is to improve recognition rate by optimisation of Mel Frequency Cepstral Coefficients (MFCCs): modifications concern the time-frequency representation used to estimate these coefficients.
Wassner, Hubert, Chollet, Gérard
core   +1 more source

Voice Recognition and Marking Using Mel-frequency Cepstral Coefficients [PDF]

open access: yesSensors and Materials, 2020
Sheu, Jia-Shing, Chen, Ching-Wen
openaire   +1 more source

Sistem Cerdas Untuk Memprediksi Chords Gitar Dari Lagu Mp3 Dengan Metode Mel-frequency Cepstral Coefficients

open access: yes, 2010
This study aims to identify and find the key tone of the song using extraksi cord mp3. An application that serves to extract the key songs on the guitar tune, so that will generate the key (Cord) tone that represents the humming.
Hidayat, R. (Rachmat)
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Klasifikasi jenis suara manusia menggunakan algoritma Convolutional Neural Network dengan metode ekstraksi Mel-Frequency Cepstral Coefficients [PDF]

open access: yes
Deteksi jenis suara manusia dalam konteks paduan suara sebagai penggunaan media pembelajaran dengan menggunakan CNN dan MFCC. Penelitian ini bertujuan untuk mengklasifikasi jenis suara manusia sehingga terbaginya ke 4 label yaitu sopran, alto, tenor, dan
Fatah, Muhammad Reza Abdul
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Mel-Generalized Cepstral Analysis

open access: yes, 1994
The generalized cepstral analysis method is viewed as a unified approach to the cepstral method and the linear prediction method, in which the model spectrum varies continuously from all-pole to cepstral according to the value of a parameter #. Since the
Unified Approach To   +4 more
core  

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