MU-NLPC
/

F0_Energy_joint_VQVAE_embeddings-interp

Feature Extraction

prosody_quantizer

Model card Files Files and versions

Daporte commited on Aug 17

Commit

f7dbf7e

·

verified ·

1 Parent(s): 8346b81

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -9,7 +9,7 @@ This repository contains a VQ-VAE model trained to generate high-quality joint v
 published in the paper https://www.isca-archive.org/interspeech_2025/portes25_interspeech.html.
 This preprocessing strategy used in this repository is __Interpolation__.
-For __Normalization + Voicedness mask__, see https://huggingface.co/MU-NLPC/F0_Energy_joint_VQVAE_embeddings
 For __Interpolation + Normalization__, see https://huggingface.co/MU-NLPC/F0_Energy_joint_VQVAE_embeddings-norm_interp
 The script for running the model is included in the __generate_embeddings.py__ file.

 published in the paper https://www.isca-archive.org/interspeech_2025/portes25_interspeech.html.
 This preprocessing strategy used in this repository is __Interpolation__.
+For __Normalization + Voicedness mask__, see https://huggingface.co/MU-NLPC/F0_Energy_joint_VQVAE_embeddings
 For __Interpolation + Normalization__, see https://huggingface.co/MU-NLPC/F0_Energy_joint_VQVAE_embeddings-norm_interp
 The script for running the model is included in the __generate_embeddings.py__ file.