Comments (2)
Thank you very much, that cleared it up. In my experiments using an encoder worked better than using embeddings too.
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Hi, we used a speaker encoder over speaker embedding because speaker embedding can't capture the variation of speech within the same speaker. These variations may include the recording environment, the speaker's prosody, etc.
However, we have not performed extensive ablation studies of the benefits of speaker encoder over speaker embedding. So, we're not sure of the exact performance improvement we gain from using a speaker encoder.
from assem-vc.
Related Issues (20)
- Pre-trained model HOT 1
- NaN loss on cotatron_trainer HOT 3
- One-to-Many HOT 1
- Best way to extend the model to a new speaker HOT 6
- Regarding teacher forcing to calculate alignment HOT 2
- Training HIFI-GAN faster HOT 2
- Controllable and Interpretable Singing Voice Decomposition via Assem-VC HOT 9
- Speech+Transcript conditioned phoneme recognition as an alternative to G2P HOT 1
- Trouble importing AttrDict HOT 1
- Changin the sampling rate HOT 3
- 어떻게해야 모델을 한글 음소로 학습시킬 수 있나요? HOT 2
- Extending to n+1 target speakers using pretrained Cotatron
- Build custom non-English dataset with ARPABET HOT 2
- other models
- How to split singing voices
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- Cross-lingual supported? HOT 1
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- Where can I get audio samples? The link in the README is broken. HOT 1
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from assem-vc.