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EyeSprout t1_j8znnjz wrote

iirc Google cloud actually offers this? [https://cloud.google.com/text-to-speech/custom-voice/docs#:\~:text=The%20Cloud%20Text%2Dto%2DSpeech,Text%2Dto%2DSpeech%20API](https://cloud.google.com/text-to-speech/custom-voice/docs#:~:text=The%20Cloud%20Text%2Dto%2DSpeech,Text%2Dto%2DSpeech%20API).

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hpxvzhjfgb t1_j0wqfx8 wrote

best and only realistic one I've found so far is Google's cloud TTS [here](https://cloud.google.com/text-to-speech). The actual cloud service isn't free, but the demo on that page seems

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fedegarzar OP t1_jaeue2g wrote

agree with your intuitions. However, we used the datasets from the official BigQuery tutorial ([https://cloud.google.com/bigquery-ml/docs/arima-speed-up-tutorial](https://cloud.google.com/bigquery-ml/docs/arima-speed-up-tutorial)). In particular, it isn't easy to generalize in time series forecasting due to the diversity

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IdlyOverthink t1_jd3qa8e wrote

their source for how they don't use it for training an ML model either.](https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-unveils-ai-and-ml-privacy-commitment) I think I would choose a different example to support your point because it implies too many

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Submitted by Intelligent_Rough_21 t3_1056c2e in MachineLearning

others to do real good text to speech. Anyone have a dataset? References: * [https://cloud.google.com/text-to-speech/docs/ssml](https://cloud.google.com/text-to-speech/docs/ssml) * [https://christiantietze.de/posts/2019/12/markdown-split-by-chapter/](https://christiantietze.de/posts/2019/12/markdown-split-by-chapter/) * [https://pandoc.org/demos.html](https://pandoc.org/demos.html)

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