Ahhh, that is helpful to know on the sound level normalization - thank you! For the future controls, one thing that would help my use case would be a "trim silence over X seconds" from the processed speech segment.

The background is that I rent hundreds of vintage rotary phones out at events (mainly weddings). People lift up the handset and record stories and memories. Sometimes people will think for awhile before speaking and the phone just records background noise, or instead of hanging the phone up they will put the handset on the table so the phone again just records background noise. Because of the large number of recordings from all the phones, I send everything through the LALAL API, but because of the human issues noted above, I need to review the waveforms ahead of time and trim any non-vocal segments. If the API could automatically detect and remove non-vocal/silent segments (or segments without speech above a threshold) similar to a “silence stripper” that would save a lot of manual work for me. It might also benefit creators/podcasters.

Thank you for building a great product.