Results 111 to 120 of about 8,304 (223)
Hardware Implementation of Speech Recognition Using MFCC and Euclidean Distance
, 2020 :This paper suggests Digital Signal processor (DSP) based speech recognition system with improved performance in terms of recognition accuracies and computational cost.
Prof. Dr S R Ganorkar +1 more
core
Spoken Word Recognition Using MFCC and Learning Vector Quantization
, 2017 Identification of spoken word(s) can be used to control external device. This research was result word identification in speech using Mel-Frequency Cepstrum Coefficients (MFCC) and Learning Vector Quantization (LVQ).
Ilyas, Ridwan; Universitas Jenderal Achmad Yani +2 more
core +2 more sources
Archives of AcousticsThe sound quality of transmission system noise significantly impacts user experience. This study aims to predict the sound quality of dual-phase Hy-Vo chain transmission system noise using a small sample size.
Jiabao LI +3 more
doaj +1 more source
Speech, spectrogram, mel-spectrogram and mfcc images of used datasets.
Speech, spectrogram, mel-spectrogram and mfcc images of used datasets.
Thanh-Cong Truong (18452213) +2 more
core +1 more source
Journal of Electrical Systems and Information TechnologyThe increasing popularity of multimedia applications, such as video classification, has underscored the need for efficient methods to manage and categorize vast video datasets. Video classification simplifies video categorization, enhancing searchability
Mayada Khairy +2 more
doaj +1 more source
MEL frequency cepstral coefficients (MFCC) of original speakers and their imitators
Archives of Acoustics, 2014 The results of intra- and interspeaker distances between MFCC vectors obtained from speech samples of eight well-known Polish personalities and their imitations performed by cabaret entertainers are presented and discussed.
W. Majewski
doaj
Using information theoretic vector quantization for inverted MFCC based speaker verification
, 2009 Over the recent years different versions the GMM classifier combined with the MFCC features have been established as speaker verification benchmarks. Although highly efficient, these systems suffer from computational complexity and occasional convergence
Margaret Lech (18026206) +2 more
core
Zhendong Ceshi yu Zhenduan针对声音信号分析在诊断带式输送机托辊故障中的高维特征存在信息冗余、计算量大和诊断效果不理想等问题，笔者构建了声音信号特征精简策略，基于Circle混沌映射、Levy飞行策略和正弦因子改进了霜冰优化算法（rime optimization algorithm，简称RIME），记作CLSRIME。再结合极致梯度提升模型（extreme gradient boosting，简称XGBOOST），构建了CLSRIME‑XGBOOST带式输送机托辊轴承故障诊断方法。首先，利用梅尔倒谱系数（Mel⁃scale ...
doaj +1 more source
Early MFCC And HPCP Fusion for Robust Cover Song Identification
, 2017 While most schemes for automatic cover song identification have focused on note-based features such as HPCP and chord profiles, a few recent papers surprisingly showed that local self-similarities of MFCC-based features also have classification power for
Tralie, CJ
core
Tumor microenvironment responsive nano-immunoregulator for precision cancer photodynamic immunotherapy. [PDF]
Mater Today BioChang X, Yu M, Wei P, Cheng J, Wu Y.
europepmc +1 more source