Speaker model adaptation based on confidence score

Mengusoglu, Erhan

doi:10.17559/tv-20140120095957

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…MGD can be regarded as a single state Gauss Mixture Model (GMM). Simpler MGD was selected over the GMM, because it provides better results when adapting new data into the database [26].…”

Section: Classification Using K-nn and Mgdmentioning

confidence: 99%

Automatic Recognition of Machinery Noise in the Working Environment

Lipar¹,

Čudina²,

Šteblaj³

et al. 2015

SV-JME

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A necessity for the suitable recognition of different machinery and equipment based on the sound they generate is constantly present and will increase in the future. The main motivation for the discrimination between different types of machinery sounds is to develop algorithms that can be used not only for final quality inspection but for the monitoring of the whole production line. The objective of our study is to recognize the operation of the individual machine in a production hall, where background noise level is high and constantly changing. An experimental plan was designed and performed in order to confirm the hypothesis proposing that automatic speech recognition algorithms can be applied to automatic machine recognition. The design of the automatic machine recognition procedure used in our study was divided into three stages: feature extraction, training, and recognition (classification). Additionally, a traditional mel-frequency cepstral coefficient (MFCC) procedure was adjusted for machinery noise by using different filter compositions. Finally, two classifiers were compared, the k-NN classifier and the multivariate Gaussian distribution. The results of the experiment show that machinery noise features frequency cepstral coefficients (FCC) should be extracted by using linear filter compositions and processed with recognition algorithm based on the multivariate Gaussian distribution.

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“…MGD can be regarded as a single state Gauss Mixture Model (GMM). Simpler MGD was selected over the GMM, because it provides better results when adapting new data into the database [26].…”

Section: Classification Using K-nn and Mgdmentioning

confidence: 99%

Automatic Recognition of Machinery Noise in the Working Environment

Lipar¹,

Čudina²,

Šteblaj³

et al. 2015

SV-JME

View full text Add to dashboard Cite

show abstract

Modeling of Kinematic Parameters of a Healthy Tibia by PLS

Qiang

Wu²,

Sun³

et al. 2016

Advanced Science and Technology Letters

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Body of a human being is an extremely complicated system and the knee joint is the biggest joint in human's body. In this paper, attention will be mainly paid on the tibia of the knee joint. RSA method is a new way to get the kinematic parameters in three-dimensional directions. PLS method is applied to find the relationship between the knee joint and the skin markers and a regression model had been built.

show abstract

Speaker model adaptation based on confidence score

Cited by 2 publications

References 11 publications

Automatic Recognition of Machinery Noise in the Working Environment

Automatic Recognition of Machinery Noise in the Working Environment

Modeling of Kinematic Parameters of a Healthy Tibia by PLS

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