Temat: acoustic classification

Skocz do pozycji: 1.

Tytuł:: Acoustic seabed classification applied to Baltic benthic habitat studies: a new approach
Autorzy:: Orlowski, A.
Tematy:: ecology
bottom habitat
acoustic method
acoustic seabed classification
Baltic Sea
bathymetry
acoustic classification; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Instytut Oceanologii PAN
Powiązania:: https://bibliotekanauki.pl/articles/48659.pdf Link otwiera się w nowym oknie
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A simple vehicle classification framework for wireless audio-sensor networks
Autorzy:: Malhotra, B.
Nikolaidis, I.
Harms, J.
Tematy:: sensor networks
vehicle classification
acoustic signals; Pokaż więcej
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:: https://bibliotekanauki.pl/articles/308519.pdf Link otwiera się w nowym oknie
Opis:: Vehicle tracking is one of the important applications of wireless sensor networks. We consider an aspect of tracking: the classification of targets based on the acoustic signals produced by vehicles. In this paper, we present a naive classifier and simple distributed schemes for vehicle classification based on the features extracted from the acoustic signals. We demonstrate a novel way of using Aura matrices to create a new feature derived from the power spectral density (PSD) of a signal, which performs at par with other existing features. To benefit from the distributed environment of the sensor networks we also propose efficient dynamic acoustic features that are low on dimension, yet effective for classification. An experimental study has been conducted using real acoustic signals of different vehicles in an urban setting. Our proposed schemes using a na¨ive classifier achieved highly accurate results in classifying different vehicles into two classes. Communication and computational costs were also computed to capture their trade-off with the classification quality.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: A new low SNR underwater acoustic signal classification method based on intrinsic modal features maintaining dimensionality reduction
Autorzy:: Ju, Yang
Wei, Zhengxian
Li, Huangfu
Feng, Xiao
Tematy:: acoustic
low SNR
signal classification
feature maintain
dimension reduction; Pokaż więcej
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Powiązania:: https://bibliotekanauki.pl/articles/259300.pdf Link otwiera się w nowym oknie
Opis:: 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. . This paper proposes a new method for signal processing—low SNR underwater acoustic signal classification method (LSUASC)—based on intrinsic modal features maintaining dimensionality reduction. Using the LSUASC method, the underwater acoustic signal was first transformed with the Hilbert-Huang Transform (HHT) and the intrinsic mode was extracted. the intrinsic mode was then transformed into a corresponding Mel-frequency cepstrum coefficient (MFCC) to form a multidimensional feature vector of the low SNR acoustic signal. Next, a semi-supervised fuzzy rough Laplacian Eigenmap (SSFRLE) method was proposed to perform manifold dimension reduction (local sparse and discrete features of underwater acoustic signals can be maintained in the dimension reduction process) and principal component analysis (PCA) was adopted in the proces of dimension reduction to define the reduced dimension adaptively. Finally, Fuzzy C-Means (FCMs), which are able to classify data with weak features was adopted to cluster the signal features after dimensionality reduction. The experimental results presented here show that the LSUASC method is able to classify low SNR underwater acoustic signals with high accuracy.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: A Multistage Procedure of Mobile Vehicle Acoustic Identification for Single-Sensor Embedded Device
Autorzy:: Astapov, S.
Riid, A.
Tematy:: vehicle identification
acoustic signal analysis
feature extraction
classification
fuzzy logic; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/227146.pdf Link otwiera się w nowym oknie
Opis:: Mobile vehicle identification has a wide application field for both civilian and military uses. Vehicle identification may be achieved by incorporating single or multiple sensor solutions and through data fusion. This paper considers a single-sensor multistage hierarchical algorithm of acoustic signal analysis and pattern recognition for the identification of mobile vehicles in an open environment. The algorithm applies several standalone techniques to enable complex decision-making during event identification. Computationally inexpensive procedures are specifically chosen in order to provide real-time operation capability. The algorithm is tested on pre-recorded audio signals of civilian vehicles passing the measurement point and shows promising classification accuracy. Implementation on a specific embedded device is also presented and the capability of real-time operation on this device is demonstrated.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Recognition of acoustic signals of induction motor using fft, smofs-10 and ISVM
Rozpoznawanie sygnałów akustycznich silnika indukcyjnego z zastosowaniem fft, smofs-10 i ISVM
Autorzy:: Głowacz, A.
Tematy:: acoustic signal
induction motor
feature extraction
classification
sygnał akustyczny
silnik indukcyjny
ekstrakcja cech
klasyfikacja; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Powiązania:: https://bibliotekanauki.pl/articles/1365918.pdf Link otwiera się w nowym oknie
Opis:: A correct diagnosis of electrical circuits is very essential in industrial plants. An article deals with a recognition method of early fault detection of induction motor. The described approach is based on patterns recognition. Acoustic signals of specific induction motor are analyzed patterns. Acoustic signals include information about motor state. The analysis of the patterns was conducted for three states of induction motor using Fast Fourier Transform (FFT), shortened method of frequencies selection (SMoFS-10) and Linear Support Vector Machine (LSVM). The results of calculations suggest that the method is efficient and can be also used for diagnostic purposes.
Prawidłowa diagnostyka obwodów elektrycznych jest bardzo istotna w zakładach przemysłowych. Artykuł zajmuje się metodą rozpoznawania stanów przedawaryjnych silnika indukcyjnego. Opisane podejście jest oparte na rozpoznawaniu wzorców. Sygnały akustyczne określonego silnika indukcyjnego są badanymi wzorcami. Sygnały akustyczne zawierają informację o stanie silnika. Analiza wzorców została przeprowadzona dla trzech stanów silnika indukcyjnego używając FFT, skróconej metody wyboru częstotliwości (SMoFS-10) i liniowej maszyny wektorów wspierających (LSVM). Wyniki obliczeń sugerują, że metoda jest skuteczna i może być również zastosowana dla celów diagnostycznych.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Hierarchical Classification of Environmental Noise Sources Considering the Acoustic Signature of Vehicle Pass-Bys
Autorzy:: Valero, X.
Alias, F.
Tematy:: acoustic signature
environmental noise monitoring
Gaussian mixture models
hierarchical classification
mel-frequency cepstral coefficients (MFCC)
sound classification
traffic noise
vehicle pass-by; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/176616.pdf Link otwiera się w nowym oknie
Opis:: This work is focused on the automatic recognition of environmental noise sources that affect humans’ health and quality of life, namely industrial, aircraft, railway and road traffic. However, the recognition of the latter, which have the largest influence on citizens’ daily lives, is still an open issue. Therefore, although considering all the aforementioned noise sources, this paper especially focuses on improving the recognition of road noise events by taking advantage of the perceived noise differences along the road vehicle pass-by (which may be divided into different phases: approaching, passing and receding). To that effect, a hierarchical classification scheme that considers these phases independently has been implemented. The proposed classification scheme yields an averaged classification accuracy of 92.5%, which is, in absolute terms, 3% higher than the baseline (a traditional flat classification scheme without hierarchical structure). In particular, it outperforms the baseline in the classification of light and heavy vehicles, yielding a classification accuracy 7% and 4% higher, respectively. Finally, listening tests are performed to compare the system performance with human recognition ability. The results reveal that, although an expert human listener can achieve higher recognition accuracy than the proposed system, the latter outperforms the non-trained listener in 10% in average.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Validación de parámetros para la clasificación acústica-organológica del timple
Autorzy:: Casal, Pablo González
Vila, Rubén Picó
Pastor, Vicente
Tematy:: timple
Canarian archipelago
organological and acoustic analysis
parameters of classification
archipiélago canario
análisis organológico y acústico
parámetros de clasificación; Pokaż więcej
Wydawca:: Polskie Towarzystwo Ludoznawcze
Powiązania:: https://bibliotekanauki.pl/articles/687305.pdf Link otwiera się w nowym oknie
Opis:: The timple is a small traditional cordophone originary from the Canarian archipelago (one of the outermost regions of the Kingdom of Spain). Because of its morphology, it is similar tothe ukulele or the guitarro, but differs with them in that the back of the timple is curved. This research work addresses the study of timple from two perspectives: organological and acoustic. In order to carry out the study, instruments provided by La Casa – Museo del Timple located in the Municipality of Teguise on the island of Lanzarote (Canary Islands) were analyzed. In order to structure the analysis of the present research a cataloguing system to classify groups of timples isproposed and validated. In it, different aspects are taken into consideration such as the functionality or the acoustic response of each group for its definition.
El timple es un pequeño cordófono tradicional del archipiélago canario (región ultraperiférica del Reino de España). Por su morfología, es semejante al ukelele o al guitarró, pero difiereen que la parte trasera del timple es curva. En este trabajo de investigación se aborda el estudio del timple desde dos perspectivas: organológica y acústica. Para la realización del estudio se analizaron instrumentos cedidos por La Casa – Museo del Timple, ubicada en el municipio de Teguise en la isla de Lanzarote (Islas Canarias). Con objeto de estructurar el análisis de la investigación se propone y se valida un sistema de catalogación por grupos de timples en el que se tienen en consideración distintos aspectos como la funcionalidad y respuesta acústica de cada grupo para su definición.
Dostawca treści:: Biblioteka Nauki

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