Documentation Is:

• Missing
• Needed
• Confusing
• Not Sure?

E

Current documentation in README explains how to install the toolkit and how to run examples. However, I don't think this is enough for users who want to make some changes to the existing recipes or make their own new recipe. In that case, one needs to understand what run.sh does step by step, but I think docs for that are missing at the moment. It would be great if we provide documentation for:

Location Sensitive Attention(step 8500)

BahdanauMonotonic Attention(step 8500)

These plots show

I'd like to train this model on 8 V100 GPUs - does it support multi GPU training?

Deep Learning for Text-to-Speech Synthesis, using the Merlin toolkit

This tutorial will combine the theory and practical application of Deep Neural Networks (DNNs) for Text-to-Speech (TTS). It will illustrate how DNNs are rapidly advancing the performance of all areas of TTS, including waveform generation and text processing, u

After testing this code, I found out that following dependencies must be updated otherwise Exception occurs :

Pytorch > 1.0 # F.one_hot function isn't available in PyTorch v1.0 it requires 1.1 or 1.2
librosa==0.7.0 # for Griffin-Lim -> librosa.feature.inverse introduced in librosa 0.7.0

Also for running soundfile following OS dependency required

sudo apt-get install libsndfile1

It seems this file was last updated for 1.0.3. It is out of sync with the actual code. For example the index.d.ts file says:

        /**
         * Set up artyom for the application. This function will set the default language used by artyom
         * or notice the user if artyom is not supported in the actual browser.
         * @see http://docs.ourcodeworld.com/projects/artyom-js/doc

Though you haven't yet done an extensive hyperparameter search, might you give us one or two examples of hyperparameter settings you have used?

The only sounds needed are

m
p
n
t
r
ɹ
ɾ
j
x
χ
ʁ
ʀ
ʔ
h
t͡s
e
a
i
o
s

In IPA.
What would the best way to create a language for espeak for this be?

All you need is that

• Wav files
• Full-context labels
• HTS-style question file

With those all prepared, it should be very straightforward to implement.