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Mel Frequency Cepstral Coefficient and its Applications: A Review
IEEE Access, 2022 Feature extraction and representation has significant impact on the performance of any machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to model features of audio signal and is widely used in various fields.
Zrar Kh. Abdul +1 more
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Using Mel-Frequency Cepstral Coefficients in Missing Data Technique [PDF]
EURASIP Journal on Advances in Signal Processing, 2004 Filter bank is the most common feature being employed in the research of the marginalisation approaches for robust speech recognition due to its simplicity in detecting the unreliable data in the frequency domain.
Gang Wei +3 more
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Applied Sciences, 2023 Recently, neural network technology has shown remarkable progress in speech recognition, including word classification, emotion recognition, and identity recognition. This paper introduces three novel speaker recognition methods to improve accuracy.
Young-Long Chen +3 more
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Mel-Weighted Single Frequency Filtering Spectrogram for Dialect Identification
IEEE Access, 2020 In this study, we propose Mel-weighted single frequency filtering (SFF) spectrograms for dialect identification. The spectrum derived using SFF has high spectral resolution for harmonics and resonances while simultaneously maintaining good time ...
Rashmi Kethireddy +3 more
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Statistical Analysis of Local Gradient in Mel Transform Domain for Parkinson’s Dysphonia [PDF]
Jisuanji kexue yu tansuo, 2022 Dysphonia analysis of Parkinson’s disease is the basis of information analysis for early diagnosis of Parkinson’s disease based on speech.
ZHANG Tao, LIN Liqin, ZHANG Yajuan, NIU Xiaoxia
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A New Fault Diagnosis Method for a Diesel Engine Based on an Optimized Vibration Mel Frequency under Multiple Operation Conditions [PDF]
Sensors, 2019 Haipeng Zhao +2 more
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Characteristic Sequence Analysis of Giant Panda Voiceprint
Frontiers in Physics, 2022 By analyzing the voiceprint characteristics of giant panda’s voice, this study proposes a giant panda individual recognition method based on the characteristics of the composite Mel composite frequency cepstral coefficient (CMFCC) and proves that the ...
Shaoxiang Hu +3 more
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Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine
Sensors, 2022 Diesel engines have a wide range of functions in the industrial and military fields. An urgent problem to be solved is how to diagnose and identify their faults effectively and timely.
Hao Yan +5 more
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Applied Sciences, 2022 In the background of artificial intelligence, the realization of smooth communication between people and machines has become the goal pursued by people. Mel spectrograms is a common method used in speech emotion recognition, focusing on the low-frequency
Juan Li +5 more
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Empirical Mode Decomposition-Based Feature Extraction for Environmental Sound Classification
Sensors, 2022 In environment sound classification, log Mel band energies (MBEs) are considered as the most successful and commonly used features for classification. The underlying algorithm, fast Fourier transform (FFT), is valid under certain restrictions.
Ammar Ahmed +3 more
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