Android Sound App -- Adrien Gaspard and Mike Smith

Click through the other tabs on this page for a quick preview of the Sound Analysis App Screens
with explanations of what the screen information means

Sound Analysis App V1. is up and running and will be available for download soon. Click on Sound App V1 Tab for details
Sound Analysis App V2. is still in early testing stages

If you want to jump ahead -- then click on the tag for our D.I.Y. Sound App published in Circuit Cellar Magazine (July-- Nov. 2015)

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	There is a low level background noise with a few spikes from computer fans and air conditioning fans. Maximum intensity around 14,000 arbitary sound units.
	Worse Case Analysis: Looks for the largest noise peak in the sound capture and other noise peaks of similar loudness. Analysis finds: Many noise peaks of a similar intensity Ratio Background Noise Analysis: Looks for noise peaks that are larger than a certain region of background noise that typically does not have any strong peaks. Analysis finds: Many noise peaks above the background measurements.

There is a low level background noise with a few spikes from computer fans and air conditioning fans.

Maximum intensity around 14,000 arbitary sound units.

Worse Case Analysis: Looks for the largest noise peak in the sound capture and other noise peaks of similar loudness.
Analysis finds: Many noise peaks of a similar intensity

Ratio Background Noise Analysis: Looks for noise peaks that are larger than a certain region of background noise that typically does not have any strong peaks.
Analysis finds: Many noise peaks above the background measurements.

	There is a low level background noise with a few spikes from computer fans and air conditioning fans There is an appearance of a high frequency hum generated using a loud speaker producing a low amplitude tone(loudness) Maximum intensity around 70,000 arbitary sound units
	Worse Case Analysis: Looks for the largest noise peak in the sound capture and other noise peaks of similar loudness. Analysis finds: One large noise peak and other signals more than 50% lower in energy. Ratio Background Noise Analysis:Looks for noise peaks that are larger than a certain region of background noise that typically does not have any strong peaks. Analysis finds: Many noise peaks above the background measurements. One major noise peak.

There is a low level background noise with a few spikes from computer fans and air conditioning fans

There is an appearance of a high frequency hum generated using a loud speaker producing a low amplitude tone(loudness)

Maximum intensity around 70,000 arbitary sound units

Worse Case Analysis: Looks for the largest noise peak in the sound capture and other noise peaks of similar loudness.
Analysis finds: One large noise peak and other signals more than 50% lower in energy.

Ratio Background Noise Analysis:Looks for noise peaks that are larger than a certain region of background noise that typically does not have any strong peaks.
Analysis finds: Many noise peaks above the background measurements. One major noise peak.

	There is a low level background noise with a few spikes from computer fans and air conditioning fans There is an appearance of a large amplitude, high frequency hum. Artical hum generated using a loud speaker producing a tone with a larger amplitude than previous example(loudness) Note: The loud signal makes the normal background almost disappear at the bottom of the screen. Maximum intensity around 200,000 arbitary sound units.
	Worse Case Analysis: Looks for the largest noise peak in the sound capture and other noise peaks of similar loudness. Analysis finds: One large noise peak. Ratio Background Noise Analysis: Looks for noise peaks that are larger than a certain region of background noise that typically does not have any strong peaks. Analysis finds: Two noise peaks above the background measurements. Note: This analysis "looks at the bottom" of any signal. This signal is so loud that its base is broad and the analysis treats this as "two signals" close together

There is a low level background noise with a few spikes from computer fans and air conditioning fans

There is an appearance of a large amplitude, high frequency hum. Artical hum generated using a loud speaker producing a tone with a larger amplitude than previous example(loudness)

Note: The loud signal makes the normal background almost disappear at the bottom of the screen.

Maximum intensity around 200,000 arbitary sound units.

Worse Case Analysis: Looks for the largest noise peak in the sound capture and other noise peaks of similar loudness.
Analysis finds: One large noise peak.

Ratio Background Noise Analysis: Looks for noise peaks that are larger than a certain region of background noise that typically does not have any strong peaks.
Analysis finds: Two noise peaks above the background measurements.
Note: This analysis "looks at the bottom" of any signal. This signal is so loud that its base is broad and the analysis treats this as "two signals" close together

Current App Features:

Can record and play back 6 second sound burst
Can record and display 6 second sound burst in time and frequency domain

Features nice to have -- highest to lowest priority:

More examples for using app.
Cell phone microphones are designed for voice and will not pick-up low frequencies (Below 100 Hz)
- Find out suitable external microphones
- Where to get a good microphone?
Faster analysis and display -- in Version 2
Analyse data and identify strongest peaks (Good for night-time analysis) -- in Version 2
Analyse data and look for weak peaks (Good for day-time analysis with traffic noise)-- in Version 2
Can store multiple data sets on one phone and analyse them
Ability to customize features used
Sound Ecology" experiments for Grades 4 to 6
-- Through The Alberta Science Network
-- Through the Association for the Advancement of Science and Engineering Education
Store GPS to record where sound was recorded
Display sound levels in "industrial standard manner" and not abitary units -- need calibration approach
Record data from a weekend
Customize how graphs are displayed
Upload to the cloud -- maintaining privacy
Compare your "Hum" with other "Hums"
Some time away I would expect -- Generate a network of cell-phones across the community and use as "sound source locator"
Some time away I would expect -- Use home theatre system to generate an anti-Hum signal and get to "make" quietness around your pillow in a bedroom

Developed and running -- 1st August 2015. Working on the best way to distribute it

NOTE: Cell phone microphones are designed for voice and will not pick-up low frequencies (Below 100 Hz) very well or not at all!
- Find out about suitable external microphones. - Where to get a good microphone?

You can test your phone microphone by using it near a piano where low notes are being played.

Middle C is 256 Hz.
The C an octave below that is 128 Hz. The C two octaves below that is 64 Hz. The C three octaves below that is 32 Hz

A 42 Hz hum is around the G# about 3 octaves below middle C.

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Expected release date -- ??

D. I. Y. Project -- Build your own version of the Android Sound Capture App!

Mike Smith and Adrien Gaspard, with the help of Nicholas Lepine and Orchisama Das, have recently written a D.I.Y. Android Sound Capture App which has been published in Circuit Cellar Magazine
Sound Ecology and Acoustic Health Part 1 -- July 2015 Tutorial on starting to build an Android App (with Nicholas Lapine).	Sound Ecology and Acoustic Health Part 2 -- August 2015 Tutorial on capturing and playing back sounds	Sound Ecology and Acoustic Health Part 3 -- September 2015 How to capture and store sound bites you can analyse

Sound Ecology and Acoustic Health Part 4 To be released: October 2015	Sound Ecology and Acoustic Health Part 5 To be released: November 2015