I use an Audio-Technica ATR2100-USB microphone. It is described as cardioid dynamic. It costs about US$64 and includes a desk stand. I use it in USB mode.
I also have a gooseneck pop filter that works with the desk stand.
I run MS Windows as my operating system. I use the proprietary digital audio workstation software Reaper to "treat" the audio as I record on the fly. I use VB-Cable Audio Virtual Cable to channel the audio through Reaper and into Python.
In Reaper I have a few FX filters set up, mainly following Elijah Lucian's Reaper for Voice Actors videos. The main difference is that I don't use a noise gate but prefer noise subtraction utilising ReaFir. Although I have Reaper doing fancy stuff like compression, noise reduction and EQ but its main purpose is to boost the volume of the recordings.
Unfortunately I don't have a sound booth and I record in my bedroom in a suburban household. When I record I do turn off the air conditioning and ceiling fan. As it is summer here, the final piece of "kit" is a cloth to mop up the sweat that drips onto the keyboard.
This first step is getting a list of entries to record. I simply right click and "Run with PowerShell" the Step 1 - generate file lists icon.
Before I do that I can change a couple of settings in xFileGenBot10.py:
Once I type in the category it saves a series of text files.
For the next 3 steps to work easily I simply copy the filename of the list I am working on into the first line of the "Generated lists.txt". Eg I would place "English idioms_sf_200" at the top and now run step 2.
Before I invest my time in a big batch of recording, I always delete the "Mic Test.wav" file and then double click the "Test the microphone.bat" to check if my mic is turned on and recording.
It takes about 10 minutes to record a batch of 200 entries.
Step 3 takes the wav files saved in Step 2 and converts them to ogg. It also adds the "en-au-" prefix. Importantly this step creates a a new audio file which includes all recordings separated by a tone. In Audacity I then listen to the file (and watch the waveforms) for quality assurance - cut-off audio, clipping, and interruptions.
The final steps is to add links to the audio files in Wiktionary entries. My tool suggests a place for the audio template to go and then displays the modified wikitext in a pop up. I then click "ok" or move the template to the correct place according to Wiktionary:Entry_layout.
To get the list of ogg's to link, I use xPutinWiki7.py and specify (at about line 105) the start and end time of the creation of the first and last upload as seen in my Commons contributions page.
I can add about 5-7 links to Wiktionary per minute. So a batch of 200 can be wrapped up in ~40 minutes. This makes it the most time consuming part of the entire process.
Commands to run:
cd c:\users\jim\pywikibot python3 pwb.py xPutInWiki7
Need to install: