Results 51 to 60 of about 3,633,480 (246)
SYSTEM OF RECOGNITION THE STEGANOGRAPHIC-TRANSFORMED VOICE COMMANDS OF THE UAV CONTROL
Радіоелектронні і комп'ютерні системи, 2018 It is created the system of recognition the steganographic-transformed voice commands of unmanned aerial vehicle control based on a cepstral analysis.
Александр Юрьевич Лавриненко +2 more
doaj +1 more source
Sistem Pengenalan Suara Dengan Metode Mel Frequency Cepstral Coefficients Dan Gaussian Mixture Model
Komputika, 2022 ABSTRAK – Teknologi biometrik sedang menjadi tren teknologi dalam berbagai bidang kehidupan. Teknologi biometrik memanfaatkan bagian tubuh manusia sebagai alat ukur sistem yang memiliki keunikan disetiap individu.
Ababil Azies Sasilo +2 more
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Speech reconstruction from mel frequency cepstral coefficients and pitch frequency [PDF]
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002 This paper presents a novel low complexity, frequency domain algorithm for reconstruction of speech from the mel-frequency cepstral coefficients (MFCC), commonly used by speech recognition systems, and the pitch frequency values. The reconstruction technique is based on the sinusoidal speech representation.
Dan Chazan +3 more
openaire +2 more sources
Ekstraksi Ciri Pelafalan Huruf Hijaiyyah Dengan Metode Mel-Frequency Cepstral Coefficients [PDF]
, 2019 Huruf hijaiyyah merupakan huruf penyusun ayat dalam Al Qur’an. Setiap hurufhijaiyyah memiliki karakteristik pelafalan yang berbeda. Tetapi dalam praktiknya,ketika membaca huruf hijaiyyah terkadang tidak memperhatikan kaidah bacaanmakhorijul huruf ...
INDRAWATY, YOULLIA +2 more
core +1 more source
Mel-frequency cepstral coefficient-based bandwidth extension of narrowband speech [PDF]
Interspeech 2008, 2008 Abstract We present a novel MFCC-based scheme for the BandwidthExtension (BWE) of narrowband speech. BWE is based onthe assumption that narrowband speech (0.3–3.4 kHz) cor-relates closely with the highband signal (3.4–7 kHz), en-abling estimation of the highband frequency content given thenarrow band.
Amr H. Nour-Eldin, Peter Kabal
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American Journal of Mathematical and Computer ModellingThe rapid advancement of AI-generated synthetic speech poses significant threats, including identity fraud and misinformation, as deepfake audio becomes increasingly indistinguishable from genuine recordings.
Clive Asuai +4 more
semanticscholar +1 more source
Acoustic Classification of Singing Insects Based on MFCC/LFCC Fusion
Applied Sciences, 2019 This work introduces a new approach for automatic identification of crickets, katydids and cicadas analyzing their acoustic signals. We propose the building of a tool to identify this biodiversity.
Juan J. Noda +3 more
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The Mel-Frequency Cepstral Coefficients In The Context Of Singer Identification.
, 2005 [TODO] Add abstract here.
Annamaria Mesaros, Jaakko Astola
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Journal of Computing Theories and ApplicationsMusic genre classification is one part of the music recommendation process, which is a challenging job. This research proposes the classification of music genres using Bidirectional Long Short-Term Memory (BiLSTM) and Mel-Frequency Cepstral Coefficients (
Nantalira Niar Wijaya +2 more
semanticscholar +1 more source
MachinesTo fully exploit the rich state and fault information embedded in the acoustic signals of a hydraulic plunger pump, this paper proposes an intelligent diagnostic method based on sound signal analysis.
Liqiang Ma, Anqi Jiang, Wanlu Jiang
doaj +1 more source