Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
Daft-Exprt – PyTorch Implementation
PyTorch Implementation of Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
The validation logs up to 70K of synthesized mel and alignment are shown below (VCTK_val_p237-088).
DATASET refers to the names of datasets such as VCTK in the following documents.
Dependencies
You can install the Python dependencies with
pip3 install -r requirements.txt
Also, Dockerfile is provided for Docker users.
Inference
You have to download the pretrained models and put them in output/ckpt/DATASET/.
For a multi-speaker TTS, run
python3 synthesize.py --text "YOUR_DESIRED_TEXT" --speaker_id SPEAKER_ID --restore_step RESTORE_STEP --mode single --dataset DATASET --ref_audio REF_AUDIO
to synthesize speech with the style of input audio at REF_AUDIO. The