what you mean by that? i have transcripts but then what to do? thank you

thank you for trying to help

thank you so much

i tested with model = pretrained.dns64().cuda()

is this their best pre trained mode?

thanks i made it work

however i got out of memory error on RTX 3060 - 12 GB vram

it is like a joke :/

https://i.imgur.com/KslqNBg.png

>audio super-resolution

thank you so much for answers and testing

any idea to get super resolution ? or my only option is mindslab-ai/nuwave2 ?

their example really good improvement but do i need training for that?

opened an issue thread but not much hope : https://github.com/mindslab-ai/nuwave2/issues/11

yes i had tried some options obs back in time. it was probably noise gate. even i forgotten it.

thank you so much for reply gonna test that repo now

i tested and 0 improvement for this audio : https://youtu.be/2zY1dQDGl3o

test from here : https://audo.ai/noise-removal

>denoiser

I need a post-processor for existing recordings. Would that work for that? could give me link?

>Nvidia RTX voice

example link that you can download extract audio quickly if you wish : https://youtu.be/2zY1dQDGl3o

also here 5 min example speech : https://sndup.net/stjs/

this is pre recording. how can I use it to process this recordings fast?

here example lecture. i will clean over 100 lectures: https://youtu.be/2zY1dQDGl3o

here 5 min example part of this video : https://sndup.net/stjs/

yep not confidental

how can I reach you? here my email : monstermmorpg@gmail.com

no just remove filler words. such as um uh etc . also the parts where i take breath

I hope they release model. without model source code useless since i don't have gpu power or dataset to train :(

>coqui TTS

thanks a lot i should test

Are you able to generate speech based on given timings like providing a str, vtt file or convert speech audio into equivalent timed speech?

​

ty so much for answers.

>ortoise-tts

thanks i will check out

it can produce my voice?

yep this would be much better

make no mistake. those ram would not be beneficial for you. almost all ai algorithms running on gpu. otherwise just too slow.

for example rtx 3060 is 22 times faster than my core i7 10700 f

How Good is RTX 3060 for ML AI Deep Learning Tasks and Comparison With GTX 1050 Ti and i7 10700F CPU

any link for any actual data?

I think the problem is available data. I wish USA government would take action and release a labelled anonymized data for public.

Yes, this is another very bad mentality of academic world. I believe what you want to do is better and more important.

Also I wondered your software could you reply me it's github repo

ty very much for detailed reply. i guess in that case i should try each one and see which one generates best

I made it work. ty very much. so which model is best for text summarization you think? also any model for Turkish text summarization?