EspAudioSensor: Difference between revisions
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This could be a decibel meter, or perhaps an environmental noise meter. | This could be a decibel meter, or perhaps an environmental noise meter. | ||
== Measuring audio as a citizen science project == | |||
Possibly a nice match for measuring stuff by citizens could be to measure audio: | |||
* ESP8266/ESP32 have an I2S input, there are cheap microphones available that directly output I2S, saving on interface electronics | |||
* ESP8266/ESP32 is probably powerful enough to do basic processing, like FFT, summing power in various frequency ranges, etc. | |||
* ESP8266/ESP32 has a wifi connection so it can easily upload data | |||
Questions/stuff to investigate: | |||
* what kind of measurements can we do reliably? | |||
** probably absolute measurements are very difficult | |||
** possibly useful relative measurements | |||
*** calculate average over (say) 10 seconds, and compare it with the average over (say) 10 minutes | |||
*** compare averages over time, e.g. compare daytime minute average with each other | |||
*** determine peak-to-average ratios | |||
Waag society uses the following microphone in their [https://waag.org/en/article/new-version-smart-citizen-kit-available kit 2.1]: Invensense ICS4342 | |||
On AliExpress you can find many INMP441, with claims of compatibility with ESP32, so I ordered those | |||
[https://aliexpress.com/item/INMP441/32960945048.html INMP441]. | |||
External things to investigate: | |||
* https://www.rijksoverheid.nl/onderwerpen/geluidsoverlast/geluidsoverlast-in-de-wet | |||
* [https://www.invensense.com/wp-content/uploads/2015/02/INMP441.pdf INMP441 microphone datasheet] | |||
* https://github.com/maspetsberger/esp32-i2s-mems | |||
=== A-weighting === | === A-weighting === |
Revision as of 14:38, 14 April 2019
Project ESP audio sensor | |
---|---|
File:NoPicture.jpg | |
ESP-based audio sensor | |
Status | Initializing |
Contact | bertrik |
Last Update | 2019-04-14 |
Introduction
This project is about using an ESP-32 together with an I2S digital microphone to create an audio sensor.
This could be a decibel meter, or perhaps an environmental noise meter.
Measuring audio as a citizen science project
Possibly a nice match for measuring stuff by citizens could be to measure audio:
- ESP8266/ESP32 have an I2S input, there are cheap microphones available that directly output I2S, saving on interface electronics
- ESP8266/ESP32 is probably powerful enough to do basic processing, like FFT, summing power in various frequency ranges, etc.
- ESP8266/ESP32 has a wifi connection so it can easily upload data
Questions/stuff to investigate:
- what kind of measurements can we do reliably?
- probably absolute measurements are very difficult
- possibly useful relative measurements
- calculate average over (say) 10 seconds, and compare it with the average over (say) 10 minutes
- compare averages over time, e.g. compare daytime minute average with each other
- determine peak-to-average ratios
Waag society uses the following microphone in their kit 2.1: Invensense ICS4342
On AliExpress you can find many INMP441, with claims of compatibility with ESP32, so I ordered those INMP441.
External things to investigate:
- https://www.rijksoverheid.nl/onderwerpen/geluidsoverlast/geluidsoverlast-in-de-wet
- INMP441 microphone datasheet
- https://github.com/maspetsberger/esp32-i2s-mems
A-weighting
Audio levels are generally measured in dB using the A-weighted scale. A-weighting calculates a subjective loudness level from a physical loudness.
Energy it calculated per octave and an A-weight factor is applied. In decibels this means adding a octave-specific number to the loudness.
Hardware
The physical device consists of:
- an ESP32 (or possibly an ESP8266), it has an I2S digital audio input.
- a digital I2S microphone, like the INMP441 (datasheet)
The microphone is connected as follows:
- INMP441 GND to ESP32 GND
- INMP441 VDD to ESP32 3.3V
- INMP441 SD to ESP32 A4/32
- INMP441 SCK to ESP32 A16/14
- INMP441 WS to ESP32 15
- INMP441 L/R to ESP32 GND
Software
Initial code can be found on github.
See also: