Results 31 to 40 of about 2,981,759 (215)
Footstep Recognition Using Mel Frequency Cepstral Coefficients and Artificial Neural Network
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Footstep recognition is relatively new biometrics and based on the learning of footsteps signals captured from people walking on the sensing area.
Thasya Nurul Wulandari Siagian +2 more
doaj +1 more source
International Journal of Interactive Multimedia and Artificial Intelligence, 2022 The speech signal within a sub-band varies at a fine level depending on the type, and level of dysarthria. The Mel-frequency filterbank used in the computation process of cepstral coefficients smoothed out this fine level information in the higher ...
Laxmi Priya Sahu +2 more
doaj +1 more source
, 2022 Normal distribution analysis (mean±std) of the combined mel-frequency cepstral coefficients (MFCCs) using the deep breathing dataset.
Mohanad Alkhodari (11944473) +1 more
core +1 more source
Discriminant Analysis of Voice Commands in the Presence of an Unmanned Aerial Vehicle
Information, 2021 The aim of this study was to perform discriminant analysis of voice commands in the presence of an unmanned aerial vehicle equipped with four rotating propellers, as well as to obtain background sound levels and speech intelligibility.
Marzena Mięsikowska
doaj +1 more source
, 2022 Normal distribution analysis (mean±std) of the combined mel-frequency cepstral coefficients (MFCCs) using the shallow breathing dataset.
Mohanad Alkhodari (11944473) +1 more
core +1 more source
A REVIEW ON VOICE ACTIVITY DETECTION AND MEL-FREQUENCY CEPSTRAL COEFFICIENTS FOR SPEAKER RECOGNITION (TREND ANALYSIS) [PDF]
, 2016 Objective: The objective of this review article is to give a complete review of various techniques that are used for speech recognition purposes overtwo decades.Methods: VAD-Voice Activity Detection, SAD-Speech Activity Detection techniques are discussed
MAHALAKSHMI, P.
core +3 more sources
Wavelet based feature combination for recognition of emotions
Ain Shams Engineering Journal, 2018 In this paper, authors tried to develop reduced combinational features for emotional speech recognition. The spectral/cepstral features like wavelet coefficient, LPCC (linear prediction cepstral coefficient) and MFCC (mel-frequency cepstral coefficient ...
Hemanta Kumar Palo +1 more
doaj +1 more source
Emotion Recognition using Mel-Frequency Cepstral Coefficients
Journal of Natural Language Processing, 2007 In this paper, we propose a new approach to emotion recognition. Prosodic features are currently used in most emotion recognition algorithms. However, emotion recognition algorithms using prosodic features are not sufficiently accurate. Therefore, we focused on the phonetic features of speech for emotion recognition.
Sato, Nobuo, Obuchi, Yasunari
openaire +3 more sources
Mel-cepstral Methods For Image Feature Extraction [PDF]
, 2010 A feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum which is widely used in speech recognition is extended to 2D in this article.
Çakır, Serdar +4 more
core +1 more source
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