-
The topics in the forum thread and on here that I see only seem to involve classification (e.g. speech recognition, event classification...).
It's not clear to me how to use fastaudio for 'regress…
-
The [published samples](https://google.github.io/tacotron/) seem to have very low background noise - is this a result of the 2 million training steps mentioned in the paper progressively reducing the …
jaron updated
7 years ago
-
I have been using your open-source code to perform 16k to 48k speech reconstruction. I utilized the default 8-step inference process and tested it on the untrimmed test set using your provided checkpo…
-
hi,
it a great amazing project, thanks for your effort.
When I looked at the code, I found that the training target signal was reverberated speech. (https://github.com/Audio-WestlakeU/NBSS/blob/af6…
-
Hello, I am looking for a fast noise reduction model, yours just meets my requirements, thank you for your efforts.
I'm using this model to do preprocessing for my speech recognition model. My proc…
-
Hey there, @SungFeng-Huang! Hoping you are all good. :)
We were trying your repo for fine-tuning ConvTasNet, which can be achieved by setting the `--strategy = 'pretrained'`. Looking at the `train_…
-
Hi. I tested the model with various kinds of wave files as source. I notice that at inference time, the model performs well with clean source files, but for those not so clean audio files (e.g. 24khz …
-
Hello! Thanks for posting this. I'm excited to run speech recognition on files! I've been trying to use Deep Speech 2 for evaluating my denoising pipeline. However, I'm having some trouble with the in…
-
**Is your feature request related to a problem? Please describe.**
I primarily work with audio data and it is particularly challenging to visualize different stages of audio data like `wavefo…
-
Dear Resemble Enhance Team,
I hope this message finds you well. I am reaching out to inquire about the robustness of the Resemble Enhance AI models, particularly in relation to their performance ac…