Results 181 to 190 of about 3,612,587 (208)
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Walk Identification using a smart carpet and Mel-Frequency Cepstral Coefficient (MFCC) features
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018We have developed a real-time system for inhome activity monitoring which could be used to assist the independent living of elders. Our system is a context-aware, and unobtrusive floor-based sensor, which recognizes persons walking or falling, monitors their moving activities and stores the data for regular functional assessment.
Fadi Muheidat +2 more
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In this work we consider the problem of feature enhancement for noise-robust automatic speech recognition (ASR). We propose a method for minimum mean-square error (MMSE) estimation of mel-frequency cepstral features, which is based on a minimum number of
Zheng-Hua Tan, Jesper Jensen
exaly +2 more sources
2018 International Seminar on Application for Technology of Information and Communication, 2018
Dialects may affect the voice recognition because they have an influence on the intonation and the pronunciation of a syllable. Every dialect shows the characteristic of a particular tribe and region. This paper addresses to develop a speech recognition system using Mel Frequency Cepstral Coefficients which are fed to a neural network based on ...
Ayu Mawadda Warohma +4 more
openaire +1 more source
Dialects may affect the voice recognition because they have an influence on the intonation and the pronunciation of a syllable. Every dialect shows the characteristic of a particular tribe and region. This paper addresses to develop a speech recognition system using Mel Frequency Cepstral Coefficients which are fed to a neural network based on ...
Ayu Mawadda Warohma +4 more
openaire +1 more source
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia - MoMM '12, 2012
In this study, we report our research on identifying the music instruments on polyphonic Indonesian traditional folksongs. We use Mel-Frequency Cepstral Coefficients (MFCC) as a feature extracted from the songs. The music instrument identification is done by applying Support Vector Machine (SVM) algorithm as a classification method on various numbers ...
Chairunissa Atimas Nurahmad +1 more
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In this study, we report our research on identifying the music instruments on polyphonic Indonesian traditional folksongs. We use Mel-Frequency Cepstral Coefficients (MFCC) as a feature extracted from the songs. The music instrument identification is done by applying Support Vector Machine (SVM) algorithm as a classification method on various numbers ...
Chairunissa Atimas Nurahmad +1 more
openaire +1 more source
2016
In this research, we built a system that has the capability to recognize some of music patterns which each of the music pattern is obtained by cutting the whole music into some sections. The Music that used has the title of Kicir-Kicir, one of the famous traditional music belongs to Indonesia.
Indra Adji Sulistijono +2 more
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In this research, we built a system that has the capability to recognize some of music patterns which each of the music pattern is obtained by cutting the whole music into some sections. The Music that used has the title of Kicir-Kicir, one of the famous traditional music belongs to Indonesia.
Indra Adji Sulistijono +2 more
openaire +2 more sources
2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2023
Nur Fatinah Hafiz +4 more
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Nur Fatinah Hafiz +4 more
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Waveform and Mel-Frequency Cepstral Coefficients (MFCC) approach for Deepfake Audio Detection
2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA)Sunny Singh, Nitesh K Bharadwaj
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2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE), 2022
Jianjian Yuan, Hua Shao, Hongcheng Huang
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Jianjian Yuan, Hua Shao, Hongcheng Huang
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Speaker Identification Using K-means Method Based on Mel Frequency Cepstral Coefficients(MFCC)
i-manager's Journal on Embedded Systems, 2012Dirman Hanafi, Abdul Syafiq Abdul Sukor
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