Wavelet Voice Sonogram
$5.99
4.0for iPhone
Age Rating
Wavelet Voice Sonogram 螢幕截圖
About Wavelet Voice Sonogram
"Wavelet Voice Sonogram" is a new sound spectrogram app that performs time-frequency analysis of acoustic signals.
A spectrogram is a graph that shows the results of a sound frequency spectrum analysis with time on the horizontal axis, frequency on the vertical axis, and signal strength in colors.
This app can perform acoustic analysis and display the spectrograms by using three time-frequency analysis methods, Wavelet analysis, Octave Band analysis, and FFT analysis.
It can record sounds from iPhone built-in microphone. While playing the sound, you can search for the desired sound and analyze it.
"Wavelet Voice Sonogram" allows you to easily perform acoustic analysis of speech, instrumental sounds, noise, and more. It can also be used to learn elementary speech analysis.
Features:
- Acoustic analysis can be performed using PCM data recorded with the iPhone's built-in microphone. It is possible to analyze 5 seconds of sound data backward from a user-specified point in time.
- Three types of acoustic analysis, FFT analysis, octave band analysis and wavelet analysis, can be performed simultaneously.
- PCM sound recording and playback is possible up to about 180 seconds, and the audio waveform graph and FFT analysis graph are displayed. While playing back sound, you can search for sound at any point in time.
- Zoom in on a specific 10 seconds of PCM data and play back the sound. Used to find a specific sound at the point in time you want to analyze.
- The spectrogram analysis result and time axis waveform can be contrasted and played back.
Specifications:
- Sampling frequency: 48 kHz
- PCM recording time: approx. 180 seconds max.
- Sound zoom function (10-Sec): Zooms in on any 10 seconds of PCM data and plays back the sound.
- 3 types of acoustic analysis function (Analysis) : About 5 seconds (Analysis points can be specified using the Time position slider.)
-- FFT analysis (FFT): FFT 2048 points
-- Octave band analysis (OCT): 1/48 octave band
-- Wavelet analysis (DWT): Gabor Wavelet
- Sound recording and playback, sound waveform and FFT graph display (Main): PCM graph, 10sec zoom graph, FFT graph.
- Time position slider: Points to the cursor position on PCM graph.
- Spectrogram display (FFT / OCT / DWT): 5 sec PCM graph and spectrogram analysis graph (vertical axis - time [0 - 5.0 sec], horizontal axis - frequency [100Hz - 8kHz])
- Snapshot (Snap): Save the analysis image in "Photos".
Notes:
- The analysis time varies greatly depending on the performance (generation) of your iPhone. It may take about 5 to 20 seconds.
- Wireless (Bluetooth) headphones and headsets are not supported.
- At the time of the first access to Microphone and Photos after installing the app, you will be asked authorization to access them by the iOS system. If you have not enabled this setting, the app cannot access them by privacy restrictions of the iOS system. Please enable the access permission on the iOS setting, "Settings > Privacy & Security > Photos or Microphone".
Please visit our iOS app support page for more information on this app.
A spectrogram is a graph that shows the results of a sound frequency spectrum analysis with time on the horizontal axis, frequency on the vertical axis, and signal strength in colors.
This app can perform acoustic analysis and display the spectrograms by using three time-frequency analysis methods, Wavelet analysis, Octave Band analysis, and FFT analysis.
It can record sounds from iPhone built-in microphone. While playing the sound, you can search for the desired sound and analyze it.
"Wavelet Voice Sonogram" allows you to easily perform acoustic analysis of speech, instrumental sounds, noise, and more. It can also be used to learn elementary speech analysis.
Features:
- Acoustic analysis can be performed using PCM data recorded with the iPhone's built-in microphone. It is possible to analyze 5 seconds of sound data backward from a user-specified point in time.
- Three types of acoustic analysis, FFT analysis, octave band analysis and wavelet analysis, can be performed simultaneously.
- PCM sound recording and playback is possible up to about 180 seconds, and the audio waveform graph and FFT analysis graph are displayed. While playing back sound, you can search for sound at any point in time.
- Zoom in on a specific 10 seconds of PCM data and play back the sound. Used to find a specific sound at the point in time you want to analyze.
- The spectrogram analysis result and time axis waveform can be contrasted and played back.
Specifications:
- Sampling frequency: 48 kHz
- PCM recording time: approx. 180 seconds max.
- Sound zoom function (10-Sec): Zooms in on any 10 seconds of PCM data and plays back the sound.
- 3 types of acoustic analysis function (Analysis) : About 5 seconds (Analysis points can be specified using the Time position slider.)
-- FFT analysis (FFT): FFT 2048 points
-- Octave band analysis (OCT): 1/48 octave band
-- Wavelet analysis (DWT): Gabor Wavelet
- Sound recording and playback, sound waveform and FFT graph display (Main): PCM graph, 10sec zoom graph, FFT graph.
- Time position slider: Points to the cursor position on PCM graph.
- Spectrogram display (FFT / OCT / DWT): 5 sec PCM graph and spectrogram analysis graph (vertical axis - time [0 - 5.0 sec], horizontal axis - frequency [100Hz - 8kHz])
- Snapshot (Snap): Save the analysis image in "Photos".
Notes:
- The analysis time varies greatly depending on the performance (generation) of your iPhone. It may take about 5 to 20 seconds.
- Wireless (Bluetooth) headphones and headsets are not supported.
- At the time of the first access to Microphone and Photos after installing the app, you will be asked authorization to access them by the iOS system. If you have not enabled this setting, the app cannot access them by privacy restrictions of the iOS system. Please enable the access permission on the iOS setting, "Settings > Privacy & Security > Photos or Microphone".
Please visit our iOS app support page for more information on this app.
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最新版本4.0更新日誌
Last updated on 2023年10月26日
歷史版本
- Improved internal processing and performance.
- Requires iOS 16.6 or later.
- Requires iOS 16.6 or later.
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Version History
4.0
2023年10月26日
- Improved internal processing and performance.
- Requires iOS 16.6 or later.
- Requires iOS 16.6 or later.
3.0
2023年03月03日
- Improved internal processing and performance.
- Renewed UI design.
- Requires iOS 15.5 or later.
- Renewed UI design.
- Requires iOS 15.5 or later.
2.0
2022年06月14日
- Improved internal processing and performance.
- Changed UI design.
- Requires iOS15.0 or later.
- Changed UI design.
- Requires iOS15.0 or later.
1.0
2021年07月26日
Wavelet Voice Sonogram FAQ
Wavelet Voice Sonogram在以下限制國家以外的其他地區可用:
China,South Korea,Belarus,Russia,Hong Kong
Wavelet Voice Sonogram支持English
點擊此處瞭解如何在受限國家或地區下載Wavelet Voice Sonogram。
以下為Wavelet Voice Sonogram的最低配置要求。
iPhone
Requires iOS 16.6 or later.
相關視頻
Latest introduction video of Wavelet Voice Sonogram on iPhone