Shouted speech detection using hidden markov model with rahmonic and mel-frequency cepstrum coefficients [PDF]
Journal of the Acoustical Society of America, 2016 In recent years, crime prevention systems have been developed to detect various hazardous situations. In general, the systems utilize the image information recorded by a camera to monitor the situations. It is however difficult to detect them in the blind area.
Takahiro Fukumori +3 more
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Steel material detection based on sound signal and the experimental research
Journal of Hebei University of Science and Technology, 2016 In the machining process of iron tower, the angle steel needs to be operated through clamping, punching, shearing, etc, and different material produces different sound, so it is advised to use sound signal to detect steel materials Q235 and Q345 ...
Zhiying QIN +4 more
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Feature Extraction of Underwater Target Signal Using Mel Frequency Cepstrum Coefficients Based on Acoustic Vector Sensor [PDF]
Journal of Sensors, 2016 Feature extraction method using Mel frequency cepstrum coefficients (MFCC) based on acoustic vector sensor is researched in the paper. Signals of pressure are simulated as well as particle velocity of underwater target, and the features of underwater target using MFCC are extracted to verify the feasibility of the method.
Lanyue Zhang +3 more
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Automatic Detection of Cow’s Oestrus in Audio Surveillance System [PDF]
Asian-Australasian Journal of Animal Sciences, 2013 Early detection of anomalies is an important issue in the management of group-housed livestock. In particular, failure to detect oestrus in a timely and accurate way can become a limiting factor in achieving efficient reproductive performance. Although a
Y. Chung +5 more
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9.1 µW keyword spotting processor based on optimized MFCC and small‐footprint TENet in 28‐nm CMOS
Electronics LettersThis letter proposes a low‐power keyword spotting (KWS) architecture based on a modified temporal efficient neural network (TENet) and a simplified mel‐frequency cepstrum coefficient (MFCC) algorithm.
Haohai Yu, Keyan He, Yang Liu, Dihu Chen
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SPEAKER IDENTIFICATION SYSTEM USING AUDIO SIGNAL AND DEEP LEARNING METHOD [PDF]
Proceedings on Engineering SciencesAutomatic Speaker Identification (ASI) does not result in high accuracy, so it is essential to develop a highly accurate Speaker Identification (SI) system. Artificial Intelligence has shown remarkable improvement in the development of such systems using
Neelam Nehra +2 more
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KOPYOR COCONUT DETECTION USING SOUND-BASED DYNAMIC TIME WARPING METHOD
Jurnal Ilmu Komputer dan Informasi, 2019 Kopyor coconut is a coconut that has genetic abnormalities which cause the coconut meat to have a unique texture and is detached from the coconut shell.
Radon Dhelika +3 more
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Pengenalan Ucapan Metoda MFCC-HMM Untuk Perintah Gerak Robot Mobil Penjejak Identifikasi Warna
Jurnal Nasional Teknik Elektro, 2013 Dewasa ini, teknologi human machine cukup berkembang dan mendapatkan perhatian.. Dua bidang yang cukup berperan dalam perkembangan teknologi human machine adalah pemrosesan suara dan pemrosesan image.
Fitrilina ., Rahmadi Kurnia, Siska Aulia
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A Pathological Multi-Vowels Recognition Algorithm Based on LSP Feature
IEEE Access, 2019 At present, pathological voice recognition is mainly based on the classification of pathological voice. However, almost all the researches are based on the single vowel \a\ samples, but few on multi-vowels.
Tao Zhang +5 more
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Polish Maritime Research, 2020 The classification of low signal-to-noise ratio (SNR) underwater acoustic signals in complex acoustic environments and increasingly small target radiation noise is a hot research topic..
Ju Yang +3 more
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