Results 51 to 60 of about 600 (157)
Journal of Information Security, 2012 The aim of this paper is to show the accuracy and time results of a text independent automatic speaker recognition (ASR) system, based on Mel-Frequency Cepstrum Coefficients (MFCC) and Gaussian Mixture Models (GMM), in order to develop a security control access gate.
Alfredo Maesa +3 more
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International Journal of Computer Applications, 2014 Speaker identification is a biometric process. The objective of speaker identification is to extract, characterize and recognize the information about speaker identity. Speaker Recognition technology has recently been used in a vast number of commercial areas successfully such as in voice based biometrics; voice controlled appliances, security control ...
Niaz Uddin Mahmud +2 more
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IEEE AccessAir traffic controller fatigue has become a significant concern for flight safety. With the sharp rise in global air traffic, it is imperative to assess controller fatigue, as it directly impacts the safety and efficiency of air traffic control ...
Zhousheng Huang +4 more
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2017 40th International Conference on Telecommunications and Signal Processing (TSP), 2017 Since the beginning of the recording of lung sounds, many studies have been done on automatic recognition of lung sounds. But, multi-channel recording methods were frequently used in these studies. Whereas single-channel recording methods are more suitable for the auscultation procedure.
Selim Aras, Ali Gangal
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[Heart sound classification based on improved mel frequency cepstrum coefficient and integrated decision network method]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2022 Wang Y +5 more
europepmc +1 more source
Resource-Efficient Pet Dog Sound Events Classification Using LSTM-FCN Based on Time-Series Data
Sensors, 2018 The use of IoT (Internet of Things) technology for the management of pet dogs left alone at home is increasing. This includes tasks such as automatic feeding, operation of play equipment, and location detection. Classification of the vocalizations of pet
Yunbin Kim +4 more
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Age Recognition Based on GMM and DBN with Using Wavelet Packet Mel-Frequency Cepstrum Coefficient
DEStech Transactions on Engineering and Technology Research, 2016 A new multi-resolution feature extraction algorithm is proposed for the speaker and text independent age recognition. The new feature called Wavelet Packet Mel-Frequency Cepstrum Coefficient (WPMFC) takes more speakers personality characteristics like age compared with common feature such as MFCC. The speaker age is divided into four age groups such as
Xian-Na Du, Yi-Biao YU
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Sensors, 2013 Automatic detection of pig wasting diseases is an important issue in the management of group-housed pigs. Further, respiratory diseases are one of the main causes of mortality among pigs and loss of productivity in intensive pig farming.
Yongwha Chung +5 more
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Sensors, 2017 Accurate emotion recognition from speech is important for applications like smart health care, smart entertainment, and other smart services. High accuracy emotion recognition from Chinese speech is challenging due to the complexities of the Chinese ...
Lianzhang Zhu +4 more
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Rancang Bangun Aplikasi Pendeteksi Suara Tangisan Bayi
Jurnal Teknik ITS, 2017 Suara tangisan bayi merupakan sebuah tanda dari bayi yang mengalami suatu masalah. Namun, tidak semua orang dapat mengenali arti tangis bayi. Beberapa penelitian tentang deteksi suara tangis bayi sudah dilakukan oleh beberapa peneliti, namun saat ini ...
Welly Setiawan Limantoro +1 more
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