Document how to build speech synthesis system for new languages

[r9y9]

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.

[ruohoruotsi]

Hi thank you for this work.
About this issue: Is the above recipe complete in the case of tonal languages? esp. those with rising and falling tones/pitch on vowels, nasal consonants?

[r9y9]

Yes. I think you will need to annotate the accent information (rising/failing tones) as the HTS-style label.

[attitudechunfeng]

Hi, 山本さん。I'm trying to synthesize mandarin using your tool. To my knowledge, i need to do forced alignment manually in previous. And then writing a frontend that adapts the language to extract linguistic features. So does that mean i only need to replace the frontend part? And could i using other forced alignment tools such as "montreal" at other alignment level which is neither 'state' nor 'phone', for example, 'syllable'？

[r9y9]

こんにちは、 @attitudechunfeng !

So does that mean i only need to replace the frontend part?

Yes, you can reuse other parts. You can also reuse a part of frontend (https://r9y9.github.io/nnmnkwii/latest/references/frontend.html#frontend) to convert your linguistic features to its numeric representation at either phone, state or frame-level if you use the HTS-style label format.

And could i using other forced alignment tools such as "montreal" at other alignment level which is neither 'state' nor 'phone', for example, 'syllable'？

You could, but then you cannot reuse https://r9y9.github.io/nnmnkwii/latest/references/frontend.html#frontend, since it assumes state or phone-level alignment.

[attitudechunfeng]

本当にありがとう！I'll try it.

[r9y9]

Alternatively, you could consider end-to-end approach, which doesn't require alignment as well as linguistic feature extraction (the hard part of the TTS!). See https://github.com/r9y9/deepvoice3_pytorch if you are interested.

[attitudechunfeng]

Thank u. In fact, i'm also following your other excellent tts projects. However, i'm now trying do some work about offline usage, end-to-end models are not convenient to be transferred to mobile devices and its speed on cpu is also can't be guaranteed. So i have to use traditional method.

[r9y9]

I see. I hope you find something useful. Let me know if you find something should be improved.

[attitudechunfeng]

okay, if there're something interesting, i'll report it.

[stale]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[HarmanGhawaddi]

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.

I have wav files of punjabi language. Please guide me to generate full context labels and HTS-style question file