Contributing my german voice for tts

Mozilla TTS
#1

Hello.

My name is Thorsten Müller, native german speaker and i currently use mimic-recording-studio for recording my voice for tts generation.
I’m using a corpus created by mycroft community member (gras64) taken phrases from https://raw.githubusercontent.com/mozilla/voice-web/master/server/data/de/sentence-collector.txt and have recorded 7k phrases (from 30k) with a duration of round about 6 hours at the moment.
I want to contribute these ljspeech data (metadata.csv and wav files) to the community.

Information and download on: https://github.com/thorstenMueller/deep-learning-german-tts

Hopefully it’s useful for somebody.

Thorsten

3 Likes
#2

That’s a great contribution thx. I’ll share some results and feedback asap.

1 Like
#3

You’re welcome. Thanks for planning to share results when tested with it.
I’m still recording at the moment and will update my wav files on google drive when i reached 10k recordings.

1 Like
#4

Happy new year dear community :slightly_smiling_face:.

Since i’m still recording my voice for community contribution (for several month now) i want to give a short update. I’ve recorded 12600 phrases with a total audio length of 11 hours.


Direct dataset download: https://drive.google.com/open?id=1NTi-4r3EWl5dw0k2o4Xh92G0OHvhoxAJ

Results of analyze.py:

1000×500 19.6 KB

1000×500 20.3 KB

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1000×500 22.6 KB

1000×500 22.8 KB

4 Likes
#5

After performing a training with 100k steps and 14306 recorded phrases I found that the quality was not as desired. Dominik (@dkreutz) and Eltonico from the Mycroft Forum were kind enough to check the quality of my recordings. It turned out that some recordings had reverberation and echoes and therefore not ideal for TTS training.
Together with Dominik I try to identify and optimize the bad files. When that is complete, I will provide the link to the cleaned and optimized dataset here.
Many thanks to Dominik and Eltocino for their support in this matter.