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Can create separate branch for TTS implementation, that's the ultimate goal for every neural vocoder. I will try to use this implementation with nvidia's Tacotron2, as preprocessing for both networks …
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An experiment for #231.
Investigation for #756.
English to Lithuanian (en-lt) was one of our worse models, and had a very large distillation gap. The teacher had a score of 0.8971 COMET, and the s…
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# Zero-Shot Learning in Modern NLP | Joe Davison Blog
State-of-the-art NLP models for text classification without annotated data
[https://joeddav.github.io/blog/2020/05/29/ZSL.html](https://joeddav.…
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This is an [ETHDenver Bounties Track Issue](https://medium.com/@vivek.m.singh/eth-denver-bounties-track-b7dfdb759759).
Bounty submission idea by Bryant:
> With people moving increasing into rem…
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#649 is currently pending because we don't want to extend ChoiceLayer with even more special cases.
Quote from https://github.com/rwth-i6/returnn/pull/649#issuecomment-919278027
> In general, we a…
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Hey folks,
this package is absolutely awesome! I'm always watching out for performant small models, so this is a goldmine for me.
I have some questions/possible feature ideas for getting static …
do-me updated
1 month ago
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I have tryied the example [【 Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation 】](https://github.com/UKPLab/sentence-transformers/tree/master/examples/training/multiling…
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Hello!
First of all, congratulations on your amazing work. I'm doing my MSc Thesis on audio classification (respiratory disease diagnosis from lung sounds). My main objective is to improve the curre…
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Hi Chen,
Thanks for sharing your work and well-implemented code with all. Could you please show us how equation (9) was implemented in the code? It seems that the main for-loop inside train() is ta…