As far as I know, the only more accurate tools for resonance are those that show full spectrograms, for example: In-formant, Friture, and Praat. Source: over 1 year ago

Get a spectrogram like this one: https://friture.org/ (use just one graph the 2d spectrogram, dm me for settings) Try 2 things: first of all breathe into your mic and try to move the lines/groupings of data upwards and downwards by moving your tongue and throat. Then do the same but take a video of white noise (from youtube) on your phone and place the phone speaker against your lips. Move your tongue and throat... Source: over 1 year ago

I got some free audio analysis software here. All I have is a webcam mic, but I'm pretty sure I see something on the spectrogram at 60, 120, and 240 hz. But I'm not sure if I'm going down the wrong path here. Source: over 1 year ago

If what you want is a real spectrum analyzer you'll need to try other software. For something free and open-source like Audacity, try Friture. Source: over 1 year ago

Your main focus should be work on balancing your vocal weight and vocal size and there are no good applications to help with that (there are spectrograms, but it's a rabbit hole - they are very hard to interpret and as practice shows, people do not benefit from spending time on trying to understand how to use them.) Above that, one of the first goals should be for you to learn how to hear the changes in size and... Source: over 1 year ago

There's dozens of tools out there for this these days. I'd recommend sonix.ai they give you 30 minutes free. Source: about 1 year ago

Do you have a budget? If so, there's this tool I've worked with called Sonix that generates transcripts of what you feed into it. It's not super accurate, but it's good enough. One of the features is that you can "highlight" chunks of text, and have it spit out an XML that will have a sequence containing only the highlighted text. Source: over 1 year ago

Sonix was the one I used because it had 30 free minutes and the video was only 10-11 minutes long. It seems to have done a really decent job, but not sure if that's because the source audio is pretty clear. Source: over 1 year ago

Sonix.ai does many languages and is quite good. Source: over 1 year ago

I am struggling with this as well, but one good tool for me has been sonix.ai, which can transcribe pretty well (posted a little while ago about it). Source: about 2 years ago