Digital signal processing methods of global nonparametric frequency domain audio testing

Potchinkov, Alexander

doi:10.1016/j.sigpro.2004.12.007

Cited by 6 publications

(5 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The frequency spectrum of the recorded sound was calculated using Fourier transformation. Impact echo (IE) test method was chosen over testing with pulse-compression signals and subsequent signal processing [5] to obtain specimen frequency response, because weight of attached transducer and transmitter is influencing specimen eigenfrequencies [6]. It should be mentioned that IE testing was applied in pith-catch setup.…”

Section: Methodsmentioning

confidence: 99%

Comparison of Modal Analysis Using FEM and Eigenfrequency Measurements

Martínek

Carbol

2015

AMR

View full text Add to dashboard Cite

In ultrasonic testing the vibration spectrum must be understood and the measured frequency peaks should match specific sample characteristics. In this paper, the experimental data are compared with results obtained using modal analysis based on Finite Element Method and the vibration was also calculated using classical Euler-Bernoulli approach, which is very simple but somewhat limited. The specimen geometry as well as the material of choice are both very simple to predict, model and measure - i.e. round cross section metal rod. In this case the FEM gives slightly better result that the simplified analytical calculation.

show abstract

Section: Methodsmentioning

confidence: 99%

Comparison of Modal Analysis Using FEM and Eigenfrequency Measurements

Martínek

Carbol

2015

AMR

View full text Add to dashboard Cite

show abstract

“…Using this technique, a boundary scan can also be performed on the PCB assemblies. In [15] some standard measurements are performed on an audio product. These measurements include total harmonic distortion and signal-to-noise ratio.…”

Section: B Review Of Existing Electronic Product Test Sitesmentioning

confidence: 99%

A Novel Process to Setup Electronic Products Test Sites Based on Figure of Merit and Machine Learning

2021

View full text Add to dashboard Cite

Consumer electronic manufacturing (CEM) companies maintain a range of electronic products that are designed and tested according to the type and end-user requirements. These electronic products go through a validation and verification test for proof of design and a manufacturing test for checking reliability, quality, and manufacturing defects. Testing is carried out using test sites, designed based on the electronic product type. Currently, there is no standard approach for setting up a test site for electronic products. In this research, two processes are presented, for setting up new test sites and optimization of existing test sites for consumer and other electronic products. The proposed processes include a voice of customer (VoC) interface, that is based on a unique dataset and through machine-learning technique automatically translate customer information into customer requirements, and a figure of merit (FoM) presented as an outcome of this research using several key test-related parameters. These proposed processes are an important step towards defining a standard approach for setting test sites for consumer and other electronic products. The processes are implemented using a software application developed in LabVIEW, which is linked to a database containing test data for around 400 products collected as part of this research and form a knowledge base for the proposed processes. Finally, the processes are validated by setting up a new experimental test site for an RF receiver and optimization of an existing test site of an antenna system.INDEX TERMS Consumer electronic manufacturing (CEM), electronic product test, figure-of-merit (FoM), LabVIEW, machine-learning, voice of customer (VoC).

show abstract

“…2 kHz to 4kHz range is called Upper midrange which makes human hearing sensitive and can cause listening fatigue. 4 kHz to 6kHz range is called Presence which handles how clear and defined a certain sound is [18,19,20]. Lastly, 6 kHz to 20kHz range is called Brilliance which is the sound of bells and cymbals when they are ringing.…”

Section: Background Of the Studymentioning

confidence: 99%

Audio-based Assessment in Determining Language

Africa¹

2020

IJETER

View full text Add to dashboard Cite

The most apparent way humans communicate is verbal with the use of Language. With language being so complex, the average person would not be able to recognize another language besides their native own. But one thing is universal for all languages spoken throughout the world and it is that they produce sound. The average human being can hear sounds with frequencies ranging from 20 Hz to 20,000 Hz and with an intensity above the standard threshold of hearing. Hence, speaking produces sound with frequencies in between the said range. This paper aims to determine the language spoken of a given voice signal. By analyzing the given voice signal, its frequency range can be determined. Languages are spoken differently therefore have different frequency ranges. By using a filter to remove any ambient sounds from the input voice signal, its equivalent spectrogram reading gives an accurate range of its frequencies.

show abstract

Digital signal processing methods of global nonparametric frequency domain audio testing

Cited by 6 publications

References 3 publications

Comparison of Modal Analysis Using FEM and Eigenfrequency Measurements

Comparison of Modal Analysis Using FEM and Eigenfrequency Measurements

A Novel Process to Setup Electronic Products Test Sites Based on Figure of Merit and Machine Learning

Audio-based Assessment in Determining Language

Contact Info

Product

Resources

About