In the automotive and consumer electronics industries, sound measurement and evaluation are frequently performed to reduce noise in equipment and design desirable sounds. Until now, evaluation has mainly been done using physical quantities such as "A-weighted sound pressure level" and "1/3 octave band level," but these often do not match human perception (how it sounds), so the use of psychoacoustic parameters such as "loudness" and "roughness" has increased. Furthermore, in recent years, the sound quality of products is greatly influenced by time-varying components, and sound quality designers are increasingly seeking to quantify these time-varying components.
The OS-2150 Variable Sound Analysis Pack is a package that plugs psychoacoustic evaluation parameters from sound quality evaluation software and variable sound analysis software, a new concept in sound quality evaluation metrics, into our time-series data analysis tool "Oscope Professional". In addition to conventional sound frequency analysis and octave analysis, by adding the new concept of "time variation" to the six physical quantities of sound quality evaluation software—"loudness," "sharpness," "roughness," "variation intensity," "AI," and "tonality"—it is possible to clearly quantify and represent the characteristics of sound on two axes: frequency and variation frequency. By using OS-2150, you can improve the sound quality of your products, reduce inspection costs, and shorten product development time.
- In addition to six physical quantities—loudness, sharpness, roughness, variation intensity, AI, and tonality—variable sounds at various speeds are color-mapped simultaneously, allowing for intuitive evaluation of timbre.
- This is effective when you want to extract only the fluctuating components from a large level of background noise.
- You can also overlay and display the time trends of up to four arbitrary fluctuating components.
- Smooth analysis is possible by comparing multiple files and multiple conditions.
- By leveraging Oscope Professional's large-capacity data processing and data mining (extraction of valuable information), efficient and speedy data analysis and evaluation become possible.
