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Stephen Hawking's Text to Speech Simulator Using HMM/HTS
Hacker NewsStephen Hawking's Text to Speech Simulator Using HMM/HTS
https://voicemynah.com/ hello HN I've tried to build a Text to Speech system based on Stephen Hawking's Text to Speech System (using audio samples extracted). I don't have any use case in mind as this was just a fun experiment to see how close the speech sounds. Appreciate if you could give it a try and leave feedback.
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4points
Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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