Increase the volume of the voice during inference

[JRMeyer]

>>> btomtom5
[June 6, 2019, 1:15am]

Does anyone know how to increase the volume of the synthesized voices? slash
I've tried the following things to no avail. It seems like parts of the
audio inevitably get 'clipped' and become noisy. My guess is that it's
because some parts of the audio are quiet and the other parts are loud
so that it becomes difficult to amplify the whole clip without creating
noise in other parts.

Thanks in advance. Any guidance would be much appreciated!

[This is an archived TTS discussion thread from discourse.mozilla.org/t/increase-the-volume-of-the-voice-during-inference]

[JRMeyer]

>>> nmstoker
[June 6, 2019, 10:50pm]

- welcome to the forum
![:slightly_smiling_face:](

I haven't experienced the issue you mention but in case you haven't seen
it, there's some info on the wiki that goes over finding parameters that
work well for a particular dataset and I wonder if this might help you
with the noise issue and in turn help the model produce results in a
more normal range

{.site-icon width='32'

### mozilla/TTS

Deep learning for Text to Speech . Contribute to mozilla/TTS development
by creating an account on GitHub.

This section specifically:

CheckSpectrograms is to measure the noise level of the clips and
find good audio processing parameters. Noise level might be observed by
checking spectrograms. If spectrograms look cluttered, especially in
silent parts, this dataset might not be a good candidate for a TTS
project. If your voice clips are too noisy in the background, it makes
things harder for your model to learn the alignment and the final result
might be different than the voice you are given. If the spectrograms
look good, then the next step is to find good set of audio processing
parameters, defined in config.json . In the notebook, you can compare
different set of parameters and see the resynthesis results in relation
to given ground-truth. Find the best parameters that give the best
possible synthesis performance.

[Archived Post]

[JRMeyer]

>>> nmstoker
[June 7, 2019, 3:45am]

{.avatar

> I've tried the following things to no avail

Also, did you miss something out about what you've tried?

[Archived Post]

[JRMeyer]

>>> btomtom5
[June 21, 2019, 2:00am]

! I've looked at the
check spectrogram notebook before and I haven't had any problems with
training TTS. I was trying to amplify the final output waveform but
found that it was hard to do so without causing the loudest parts of the
wave to clip. I still haven't found the solution for this unfortunately.
Perhaps better normalization before training would help. If I find
anything, I'll report back.

[Archived Post]