Audio SA vs Audio Analyst

"Audio SA" is a spectrum analyzer that can capture voiceprints as TFFT images. The created TFFT image can be exported as a high resolution image. (Image size example iPhoneSE3: 4096×4096, iPhoneX: 6144×6144) If you just want to try creating a voiceprint, you don't need to worry about the settings. Just record your voice and run the TFFT to see the voiceprint. "Audio SA" can also be used for FFT-related learning. You can also check changes in important characteristics such as FFT frequency resolution and dynamic range while switching the FFT size and window function. As an additional function, we have implemented a simple waveform generator, so please try it when learning. The simple waveform generator can generate sine waves, square waves, Gaussian white noise, and their combinations. When using TFFT images for machine learning, etc., it will be necessary to give sufficient consideration to the settings. "Audio SA" allows you to set the audio waveform analysis range, FFT size, power spectrum scale, window function, and drawing color. The analysis range of the audio waveform is set by scaling and moving the audio waveform. The displayed range becomes the analysis range. Tap the play button to play only the analysis range, which is convenient for checking. FFT size can be selected from 256,512,1024,2048,4096,8192,16384,32768. (However, you can select from 256, 512, 1024, 2048, and 4096 during recording and playback.) The power spectrum scale can be selected from Linear scale, Log scale, and Mel scale. For Mel scale, you can set the break frequency. The mel scale is close to a linear scale up to the break frequency and close to a log scale after the break frequency. 700Hz, which is the most commonly used frequency, is set as the default value. The window function can be selected from Blackman, Hamming, Hann, Rectangular. It is recommended to choose Blackman when wide dynamic range is required and Hamming when high frequency resolution is required. Roughly speaking, Hann is a trait between Blackman and Hamming. For Rectangular, no special window function is multiplied during FFT transform. The audio data cut out from the audio waveform for the FFT size is used as it is. In addition, the lower limit of the dynamic range when drawing TFFT images can also be set. It's easy to set up, just swipe up and down on the FFT image. The part displayed as the FFT image is drawn as it is in the TFFT image. "Audio SA" consumes tickets to record audio. Tickets can be earned by watching ads. However, if you purchase "Remove Ads" as an in-app purchase, you will be able to record without a ticket. [details] https://app.brain-workout.org/spectrumanalyzer-e/

Audio Analyszer is a professional audio analysis software. Supports a variety of measurement modes such as spectrum analysis, phase spectrum analysis, audio oscilloscope, persistence spectrum, power distribution, spectrogram, etc. Supports accessibility functions such as audio recording, audio playback, audio clipping, peak measurement, and more. 【Spectrum Analysis】 The frequency audio spectrum is a description of how an audio signal behaves in the frequency domain. An audio signal is represented in the time domain as a change in volume over a period of time, while a spectrogram shows how high or low the volume of this audio is at each frequency at a certain time. The software supports custom spectrum measurements and flexible definition of frequency ranges. A variety of trace options to assist in peak measurement. 【Audio Oscilloscope】 The oscilloscope measurement is different from the spectrum measurement, which reflects the frequency domain information of the audio signal, and the oscilloscope reflects the time domain information of the audio signal. An oscilloscope converts an electrical signal into an image, allowing the user to judge the characteristics and waveform of the signal by looking at the image. This is very helpful for observing the signal waveform in the circuit, and can clearly see the waveform, frequency, amplitude and other characteristics of the signal, so as to judge the quality and performance of the signal. 【Power Distribution】 The power distribution measurement is similar to the spectrum measurement, both of which display the frequency domain power value of the signal, but the difference is that the power distribution measures the integrated power of the signal within a certain bandwidth with a certain point as the center frequency. Functions such as maximum and minimum value holding are supported. 【Persistence Spectrum】 The afterglow spectrum is an extension of the spectrum measurement, and the afterglow spectrum also shows the frequency domain characteristics of the signal. This measurement is based on the spectrum measurement, adding multiple trace displays, the latest trace uses the maximum brightness, and then fades over time, so the afterglow spectrum is a powerful tool for observing the change direction of the signal at the same time. 【Spectrogram】 A spectrogram is a graphical representation of a sound signal in time and frequency. Spectra provide a visual representation of the spectral characteristics of a speech signal over time. Through the spectrogram, we can observe the frequency and time characteristics of the sound signal, and thus gain a deeper understanding of the nature of the sound signal. At any given moment, a spectral diagram can show the intensity of different frequency components, which is usually represented by the grayscale of the corresponding point or the intensity of the hue. This dynamic spectral representation helps us capture the complex properties of sound signals that change over time. 【Paid Membership Features】 - Frequency range customization - Data record limit increased - Unlock audio clips - Unlock advanced configurations 【Activate Paid Membership】 Paid members are available as a subscription or as a permanent activation Membership Service Agreement: https://audioanalyzer-serviceagreement.mysxl.cn/