mirror of
https://github.com/thorstenMueller/Thorsten-Voice.git
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246 lines
12 KiB
Markdown
246 lines
12 KiB
Markdown
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- [Project motivation](#motivation-for-thorsten-voice-project-speaking_head-speech_balloon)
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- [Personal note](#some-personal-words-before-using-thorsten-voice)
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- [**Thorsten** Voice Datasets](#voice-datasets)
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- [Thorsten-21.02-neutral](#thorsten-2102-neutral)
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- [Thorsten-21.06-emotional](#thorsten-2106-emotional)
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- [Thorsten-22.10-neutral](#thorsten-2210-neutral)
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- [**Thorsten** TTS-Models](#tts-models)
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- [Thorsten-21.04-Tacotron2-DCA](#thorsten-2104-tacotron2-dca)
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- [Thorsten-22.05-VITS](#thorsten-2205-vits)
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- [Thorsten-22.08-Tacotron2-DDC](#thorsten-2208-tacotron2-ddc)
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- [Other models](#other-models)
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- [Public talks](#public-talks)
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- [My Youtube channel](#youtube-channel)
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- [Special Thanks](#thanks-section)
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# Motivation for Thorsten-Voice project :speaking_head: :speech_balloon:
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A **free** to use, **offline** working, **high quality** **german** **TTS** voice should be available for every project without any license struggling.
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<a href="https://twitter.com/intent/follow?screen_name=ThorstenVoice"><img src="https://img.shields.io/twitter/follow/ThorstenVoice?style=social&logo=twitter" alt="follow on Twitter"></a>
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[](https://www.youtube.com/c/ThorstenMueller)
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[](https://www.Thorsten-Voice.de)
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# Social media
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Please check and follow me on my social media profiles - Thank you.
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| Platform | Link |
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| --------------- | ------- |
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| Youtube | [ThorstenVoice on Youtube](https://www.youtube.com/c/ThorstenMueller) |
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| Twitter | [ThorstenVoice on Twitter](https://twitter.com/ThorstenVoice) |
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| Instagram | [ThorstenVoice on Instagram](https://www.instagram.com/thorsten_voice/) |
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| LinkedIn | [Thorsten Müller on LinkedIn](https://www.linkedin.com/in/thorsten-m%C3%BCller-848a344/) |
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# Some personal words before using **Thorsten-Voice**
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> I contribute my voice as a person believing in a world where all people are equal. No matter of gender, sexual orientation, religion, skin color and geocoordinates of birth location. A global world where everybody is warmly welcome on any place on this planet and open and free knowledge and education is available to everyone. :earth_africa: (*Thorsten Müller*)
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Please keep in mind, that **i am no professional voice talent**. I'm just a normal guy sharing his voice with the world.
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# Voice-Datasets
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Voice datasets are listed on Zenodo:
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| Dataset | DOI Link |
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| --------------- | ------- |
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| Thorsten-21.02-neutral | [](https://doi.org/10.5281/zenodo.5525342) |
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| Thorsten-21.06-emotional | [](https://doi.org/10.5281/zenodo.5525023) |
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| Thorsten-22.10-neutral | [](https://doi.org/10.5281/zenodo.7265581) |
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## Thorsten-21.02-neutral
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[](https://doi.org/10.5281/zenodo.5525342)
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```
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@dataset{muller_thorsten_2021_5525342,
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author = {Müller, Thorsten and
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Kreutz, Dominik},
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title = {Thorsten-Voice - "Thorsten-21.02-neutral" Dataset},
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month = feb,
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year = 2021,
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note = {{Please use it to make the world a better place for
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whole humankind.}},
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publisher = {Zenodo},
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version = {3.0},
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doi = {10.5281/zenodo.5525342},
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url = {https://doi.org/10.5281/zenodo.5525342}
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}
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```
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> :speaking_head: **Listen to some audio recordings from this dataset [here](https://drive.google.com/drive/folders/1KVjGXG2ij002XRHb3fgFK4j0OEq1FsWm?usp=sharing).**
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### Dataset summary
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* Recorded by Thorsten Müller
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* Optimized by Dominik Kreutz
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* LJSpeech file and directory structure
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* 22.668 recorded phrases (*wav files*)
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* More than 23 hours of pure audio
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* Samplerate 22.050Hz
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* Mono
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* Normalized to -24dB
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* Phrase length (min/avg/max): 2 / 52 / 180 chars
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* No silence at beginning/ending
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* Avg spoken chars per second: 14
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* Sentences with question mark: 2.780
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* Sentences with exclamation mark: 1.840
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### Dataset evolution
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As described in the PDF document ([evolution of thorsten dataset](./EvolutionOfThorstenDataset.pdf)) this dataset consists of three recording phases.
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* **Phase 1**: Recorded with a cheap usb microphone (*low quality*)
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* **Phase 2**: Recorded with a good microphone (*good quality*)
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* **Phase 3**: Recorded with same good microphone but longer phrases (> 100 chars) (*good quality*)
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If you want to use a dataset subset you can see which files belong to which recording phase in [recording quality](./RecordingQuality.csv) csv file.
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## Thorsten-21.06-emotional
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[](https://doi.org/10.5281/zenodo.5525023)
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```
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@dataset{muller_thorsten_2021_5525023,
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author = {Müller, Thorsten and
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Kreutz, Dominik},
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title = {{Thorsten-Voice - "Thorsten-21.06-emotional"
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Dataset}},
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month = jun,
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year = 2021,
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note = {{Please use it to make the world a better place for
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whole humankind.}},
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publisher = {Zenodo},
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version = {2.0},
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doi = {10.5281/zenodo.5525023},
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url = {https://doi.org/10.5281/zenodo.5525023}
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}
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```
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All emotional recordings where recorded by myself and i tried to feel and pronounce that emotion even if the phrase context does not match that emotion. Example: I pronounced the sleepy recordings in the tone i have shortly before falling asleep.
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### Samples
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Listen to the phrase "**Mist, wieder nichts geschafft.**" in following emotions.
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* :slightly_smiling_face: [Neutral](./samples/thorsten-21.06-emotional/neutral.wav)
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* :nauseated_face: [Disgusted](./samples/thorsten-21.06-emotional/disgusted.wav)
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* :angry: [Angry](./samples/thorsten-21.06-emotional/angry.wav)
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* :grinning: [Amused](./samples/thorsten-21.06-emotional/amused.wav)
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* :astonished: [Surprised](./samples/thorsten-21.06-emotional/surprised.wav)
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* :pensive: [Sleepy](./samples/thorsten-21.06-emotional/sleepy.wav)
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* :dizzy_face: [Drunk](./samples/thorsten-21.06-emotional/drunk.wav)
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* 🤫 [Whispering](./samples/thorsten-21.06-emotional/whisper.wav)
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### Dataset summary
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* Recorded by Thorsten Müller
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* Optimized by Dominik Kreutz
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* 300 sentences * 8 emotions = 2.400 recordings
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* Mono
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* Samplerate 22.050Hz
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* Normalized to -24dB
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* No silence at beginning/ending
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* Sentence length: 59 - 148 chars
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## Thorsten-22.10-neutral
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[](https://doi.org/10.5281/zenodo.7265581)
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> :speaking_head: **Listen to some audio recordings from this dataset [here](https://drive.google.com/drive/folders/1dxoSo8Ktmh-5E0rSVqkq_Jm1r4sFnwJM?usp=sharing).**
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```
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@dataset{muller_thorsten_2022_7265581,
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author = {Müller, Thorsten and
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Kreutz, Dominik},
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title = {ThorstenVoice Dataset 2022.10},
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month = oct,
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year = 2022,
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publisher = {Zenodo},
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version = {1.0},
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doi = {10.5281/zenodo.7265581},
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url = {https://doi.org/10.5281/zenodo.7265581
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}
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```
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# TTS Models
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## Thorsten-21.04-Tacotron2-DCA
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This [TTS-model](https://drive.google.com/drive/folders/1m4RuffbvdOmQWnmy_Hmw0cZ_q0hj2o8B?usp=sharing) has been trained on [**Thorsten-21.02-neutral**](#thorsten-2102-neutral) dataset. The recommended trained Fullband-MelGAN Vocoder can be downloaded [here](https://drive.google.com/drive/folders/1hsfaconm4Yd9wPVyOtrXjWQs4ZAPoouY?usp=sharing).
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Run the model:
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* pip install TTS==0.5.0
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* tts-server --model_name tts_models/de/thorsten/tacotron2-DCA
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## Thorsten-22.05-VITS
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Trained on dataset **Thorsten-22.05-neutral**.
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Audio samples are available on [Thorsten-Voice website](https://www.thorsten-voice.de/en/just-get-started/).
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To run TTS server just follow these steps:
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* pip install tts==0.7.1
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* tts-server --model_name tts_models/de/thorsten/vits
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* Open browser on http://localhost:5002 and enjoy playing
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## Thorsten-22.08-Tacotron2-DDC
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Trained on dataset [**Thorsten-22.05-neutral**](#thorsten-2205-neutral).
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Audio samples are available on [Thorsten-Voice website]([https://www.thorsten-voice.de/en/just-get-started/](https://www.thorsten-voice.de/2022/08/14/welches-tts-modell-klingt-besser/)).
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To run TTS server just follow these steps:
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* pip install tts==0.8.0
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* tts-server --model_name tts_models/de/thorsten/tacotron2-DDC
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* Open browser on http://localhost:5002 and enjoy playing
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## Other models
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### Silero
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You can use a free A-GPL licensed models trained on **Thorsten-21.02-neutral** dataset via the [silero-models](https://github.com/snakers4/silero-models/blob/master/models.yml) project.
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* [Thorsten 16kHz](https://drive.google.com/drive/folders/1tR6w4kgRS2JJ1TWZhwoFuU04Xkgo6YAs?usp=sharing)
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* [](https://colab.research.google.com/github/snakers4/silero-models/blob/master/examples_tts.ipynb)
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### ZDisket
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[ZDisket](https://github.com/ZDisket/TensorVox) made a tool called TensorVox for setting up an TTS environment on Windows and included a german TTS model trained by [monatis](https://github.com/monatis/german-tts). Thanks for sharing that :thumbsup:. See it in action on [Youtube](https://youtu.be/tY6_xZnkv-A).
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# Public talks
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I really want to bring the topic "**Open Voice For An Open Future**" to a bigger public attention.
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* I've been part of a Linux User Group podcast about Mycroft AI and talked on my TTS efforts on that in (*May 2021*).
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* I was invited by [Yusuf](https://github.com/monatis/) from Turkish tensorflow community to talk on "How to make machines speak with your own voice". This talk has been streamed live on Youtube and is available [here](https://www.youtube.com/watch?v=m-Uwb-Bg144&t=2303s). If you're interested on the showed slides, feel free to download my presentation [here](https://docs.google.com/presentation/d/1ynnw0ilKV3WwMSJHytrN3GXRiFr8x3r0DUimBm1y0LI/edit?usp=sharing) (*June 2021*)
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)
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* I've been invited as speaker on VoiceLunch language & linguistics on 03.01.2022. [Here are my slides](https://docs.google.com/presentation/d/1Gi6BmYHs7g4ZgdAiIKGBnBwZDCvJOD9DJxQOGlgds1o/edit?usp=sharing) (*January 2022*).
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# Youtube channel
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In summer 2021 i've started to share my lessons learned and experiences on open voice tech, in special **TTS** on my little [Youtube channel](https://www.youtube.com/c/ThorstenMueller). If you check out and like my videos i'd happy to welcome you as subscriber and member of my little Youtube community.
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# Feel free to file an issue if you ...
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* Use my TTS voice in your project(s)
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* Want to share your trained "Thorsten" model
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* Get to know about any abuse usage of my voice
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# Thanks section
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## Cool projects
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* https://commonvoice.mozilla.org/
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* https://coqui.ai/
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* https://mycroft.ai/
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* https://github.com/rhasspy/
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## Cool people
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* [El-Tocino](https://github.com/el-tocino/)
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* [Eren Gölge](https://github.com/erogol/)
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* [Gras64](https://github.com/gras64/)
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* [Kris Gesling](https://github.com/krisgesling/)
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* [Nmstoker](https://github.com/nmstoker)
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* [Othiele](https://discourse.mozilla.org/u/othiele/summary)
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* [Repodiac](https://github.com/repodiac)
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* [SanjaESC](https://github.com/SanjaESC)
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* [Synesthesiam](https://github.com/synesthesiam/)
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## Even more special people
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Additionally, a really nice thanks for my dear colleague, Sebastian Kraus, for supporting me with audio recording equipment and for being the creative mastermind behind the logo design.
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And last but not least i want to say a **huge, huge thank you** to a special guy who supported me on this journey as a partner right from the beginning. Not just with nice words, but with his time, audio optimization knowhow and finally GPU power.
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**Thank you so much, dear **Dominik** ([@domcross](https://github.com/domcross/)) for being my partner on this journey.**
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Thorsten (*Twitter: @ThorstenVoice*)
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