Results 81 to 90 of about 28,361 (199)
[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
, 2016 Human-machine interface is a rapidly growing research topic which requires new analysis methods. Electromyogram is one such way to control devices using human body.
Gavelis, Vytenis,
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, 2019 Lovebird (Agapornis) is a type of bird that has become the belle of new pet birds lately. The interest of the hobbyist in this one song is because Lovebird has a unique chirp.
Perwira, Rifki Indra +2 more
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, 2015 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
Tan, Zheng-Hua; id_orcid, Jensen, Jesper
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Ecological InformaticsPassive acoustic monitoring of marine mammal vocalizations often relies on automated detectors to process large quantities of data. Many automated systems use spectrograms as a way to represent acoustic information, including those built on deep ...
Fabio Frazao, Ruth Joy, Michael Dowd
doaj +1 more source
The Use of Mel-frequency Cepstral Coefficients in Musical Instrument Identification.
, 2008 This paper examines the use of Mel-frequency Cepstral Coefficients in the classification of musical instruments. 2004 piano, violin and flute samples are analysed to get their coefficients. These coefficients are reduced using principal component analysis and used to train a multi-layered perceptron.
Loughran, Róisín +3 more
openaire +2 more sources
Frontiers in PhysiologyIntroductionSnoring is a common symptom of Obstructive Sleep Apnea (OSA) and has also been associated with an elevated risk of cerebrovascular disease. However, existing snoring detection studies predominantly focus on individuals with Obstructive Sleep ...
Caijian Hua +4 more
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PEMODELAN SPEECH RECOGNITION SPEECH-TO-TEXT DALAM BAHASA INDONESIA MENGGUNAKAN MEL FREQUENCY CEPSTRAL COEFFICIENTS (MFCC) DAN HIDDEN MARKOV MODEL (HMM) Speech Recognition Modeling Speech-to-Text in Bahasa Using Mel Frequency Cepstral Coefficients (MFCC) a [PDF]
, 2013 ABSTRAKSI: Speech recognition merupakan salah satu teknologi yang mempermudah pekerjaan manusia dalam berinteraksi dengan komputer. Oleh karena itu, penelitian mengenai speech recognition merupakan kunci pengembangan teknologi tersebut.
SITI KHODIJAH F N F
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, 2013 In the study conducted by the Department of Health National Epidemiology Center, there is a high incidence and mortality rates of breast cancer among Western Visayan women, specifically in Bacolod city, Philippines.
Robert Kerwin C. Billones +3 more
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Sound Event Detection for Music Signals Using Gaussian Processes
TecnoLógicas, 2013 In this paper we present a new methodology for detecting sound events in music signals using Gaussian Processes. Our method firstly takes a time-frequency representation, i.e. the spectrogram, of the input audio signal. Secondly the spectrogram dimension
Pablo A. Alvarado-Durán +2 more
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