Selim Özten PRO
comarproject
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tencent/Hunyuan3D-2.1
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nanonets/Nanonets-OCR-s
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arcee-ai/Homunculus
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a collection of text to speech papers.
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BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data
Paper • 2402.08093 • Published • 62 -
E3 TTS: Easy End-to-End Diffusion-based Text to Speech
Paper • 2311.00945 • Published • 16 -
Matcha-TTS: A fast TTS architecture with conditional flow matching
Paper • 2309.03199 • Published • 12 -
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
Paper • 1712.05884 • Published • 3
a collection of text to speech papers.
-
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data
Paper • 2402.08093 • Published • 62 -
E3 TTS: Easy End-to-End Diffusion-based Text to Speech
Paper • 2311.00945 • Published • 16 -
Matcha-TTS: A fast TTS architecture with conditional flow matching
Paper • 2309.03199 • Published • 12 -
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
Paper • 1712.05884 • Published • 3
datasets
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