, 2016 Indonesia is one of the agricultural country that produces crops. Nevertheless, Indonesia still imports rice from other countries because of crop decreasement. One of its factors is caused by bird pests.
., Suwito +7 more
core +2 more sources
Speaker verification using Mel Frequency Cepstral Coefficient and Artificial Neural Network [PDF]
, 2012 Speaker recognition is defined as to make sure that if the person is the same person he claims to be or not. This technique is one of the biometric recognition techniques useful in all most all areas where security is a concern.
Behera, Sujit, Singh, Jatindra Kumar
core
, 2006 In this paper we study the noise-robustness of mel-frequency cep-stral coefficients (MFCCs) and explore ways to improve their per-formance in noisy conditions.
David V. Anderson +2 more
core
Gong-kuang zidonghua, 2013 In view of problems that γ ray method is not suitable for working face with no or little radioactive elements in roof and radar detection method has little detection range and serious signal attenuation which were used in current coal and gangue ...
HE Ai-xiang +3 more
doaj
Source cell-phone identification from recorded speech using non-speech segments
Dianxin kexue, 2017 Source cell-phone identification has become a hot topic in multimedia forensics.A novel cell-phone identification method was proposed based on the silent segments of recorded speech.Firstly,the silent segments were obtained using adaptive endpoint ...
Anshan PEI, Rangding WANG, Diqun YAN
doaj
Feature Extracting in the Presence of Environmental Noise, using Subband Adaptive Filtering
, 2009 In this work, a new feature extracting method in noisy environments is proposed. The approach is based on subband decomposition of speech signals followed by adaptive filtering in the noisiest subbbands of speech.
Samad, Salina Abdul
core
Advancing insect monitoring: analysis of mel-frequency cepstral coefficients from optical signals for body orientation estimation. [PDF]
Appl Phys BSaha T, Thomas BP.
europepmc +1 more source
The Mel-frequency cepstrum coefficient for music emotion recognition in machine learning
, 2019 Empirical thesis.Bibliography: pages 45-49.1. Introduction -- 2. Music features -- 3. Emotion models -- 4. Mel-frequency cepstrum coefficient -- 5. Temporal and spectral properties -- 6. Existing work in music emotion recognition -- 7.
Yong, Ai-Phee Chris
core
Improved railway track faults detection using Mel-frequency cepstral coefficient and constant-Q transform features. [PDF]
Sci RepShafique R +4 more
europepmc +1 more source
Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks. [PDF]
Sensors (Basel)Liu H, Xu Y, Qi Y, Yang H, Bi W.
europepmc +1 more source