Who out here is training a vector quantised TTS model? Looking for collaborations to bring easy-to-scale training recipes for TTS.
DM?
@reach_vb
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Vector Quantised TTS Model Training Collaboration Sought
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100K Open Source Audio Image Models for Developers
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We have a collection of 100K+ open source models used and loved by millions of developers for Audio and Image. Happy to help bring them closer to devs and unlock plethora of use-cases. Let’s talk!
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LEDITS: AI Image Editing Tool Now Available on Hugging Face
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I don't see any difference between the two images 🙂 LEDITS by @linoy_tsaban – Try it out now: https://
huggingface.co/spaces/editing
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User expresses fear and hesitation about AI technology adoption
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I am quite scared of using it tbh.
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Hugging Face Integration Opportunity and Collaboration Proposal
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Wohoo! Really exciting! Keen to see a HF integration.. do let us know how can we help/ collaborate?
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FastSpeech2 Vocoder Inference Debugging: Tensor Dimension Error
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Running inference on an assortment of FastSpeech2 variants with a new vocoder.. after 3 hours of sifting through the stack trace, realised that I forgot to `unsqueeze` my input vector! *cries in torch*
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Coqui AI Open Source Text-to-Speech Solution Gains Recognition
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Brilliant! Open source Text-to-Speech ftw! Kudos @coqui_ai
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Sharing AI Models on Hub Platform
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Fantastic!! Would be cool to get the models on the hub too! Happy to help with it, if you want!
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Improving Whisper Transcription Quality with Contrastive Search Strategy
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In my experience those results were quite suboptimal and didn’t quite result in usable transcriptions. With better decoding strategy those issues can be alleviated a bit. So the hack is more so of using contrastive search with Whisper to enable such use cases. Will run more
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Fine-Tuning Whisper Model for Improved Performance
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Definitely yes! You can fine-tune Whisper to boost the model performance: https://
huggingface.co/blog/fine-tune
-whisper
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