Diffusion Models and Zero-shot Voice Cloning in Speech Synthesis: How Do They Fare?
#voicecloning #diffusionmodels #zeroshotvoicecloning #speechsynthesis #diffsinger #generationmodels #speakerencoder #multispectrogan
https://hackernoon.com/diffusion-models-and-zero-shot-voice-cloning-in-speech-synthesis-how-do-they-fare
#voicecloning #diffusionmodels #zeroshotvoicecloning #speechsynthesis #diffsinger #generationmodels #speakerencoder #multispectrogan
https://hackernoon.com/diffusion-models-and-zero-shot-voice-cloning-in-speech-synthesis-how-do-they-fare
Hackernoon
Diffusion Models and Zero-shot Voice Cloning in Speech Synthesis: How Do They Fare?
Diffusion models have also demonstrated their powerful generative performances in speech synthesis.
The 7 Objective Metrics We Conducted for the Reconstruction and Resynthesis Tasks
#speechsynthesizer #texttospeech #resynthesis #syntheticspeech #voxceleb2 #mospredictionmodel #speakerencoder #koreauniversity
https://hackernoon.com/the-7-objective-metrics-we-conducted-for-the-reconstruction-and-resynthesis-tasks
#speechsynthesizer #texttospeech #resynthesis #syntheticspeech #voxceleb2 #mospredictionmodel #speakerencoder #koreauniversity
https://hackernoon.com/the-7-objective-metrics-we-conducted-for-the-reconstruction-and-resynthesis-tasks
Hackernoon
The 7 Objective Metrics We Conducted for the Reconstruction and Resynthesis Tasks
For VC, we used two subjective metrics: naturalness mean opinion score (nMOS) and voice similarity MOS (sMOS) with a CI of 95%