[clan]

Are there any simple howtos anywhere which describes the process in as simple terms as possible? Without knowing the cool toolkits du jour.

Something like: - Download these texts - Record in WAV at least 48 kHz - Record each line in a separate file. - Do 3 takes of each line: flat, happy, despair

Maybe even a minimal set and a full set depending on how much effort you are willing to put in.

A plain description on how to capture a raw base which within reason and technology could be used as a baseline for the most common toolkits.

I have myself looked into this (for fun) but I felt I needed a very good understanding of the toolkits before even starting to feed in data. And for my admittedly unimportant use it seemed a huge investment to create a corpus I was not even confident would work. I ended up taking the low road and used an existing voice.

[audiohermit]

Not really, this is the only thing I know of in terms of collection: https://www.isca-speech.org/archive/Interspeech_2018/pdfs/24... Usually you're basing your recipe off of those for existing datasets (TIMIT, WSJ, LibriSpeech, etc).

[voicevoice50]

For recording training audio:

https://github.com/daanzu/speech-training-recorder

The recorder works with Python 3.6.10. Need to pip install webrtcvad also.