![]() The improvements over designs that trained on one speaker only vanish on the high end of the scale, but in the low end they are really big. The paper shows that multi speaker corpuses can help when you have little data from that particular speaker. ![]() The Common Voice dataset is multi-speaker. There is a google paper about the subject: ( samples website arxiv)įor TTS, in general, you need data from one speaker. Metacademy is a great resource which compiles lesson plans on popular machine learning topics.įor Beginner questions please try /r/LearnMachineLearning, /r/MLQuestions or įor career related questions, visit /r/cscareerquestions/ Please have a look at our FAQ and Link-Collection ![]() Rules For Posts + Research + Discussion + Project + News on Twitter Chat with us on Slack Beginners:
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