2.0 KiB
What's new
2022.05.19： We calculated GE2E loss in encoder with CUDA rather than originally-configured CPU. It speeds up the encoder training speed.
2022.07.15： We added Loss animation plot for synthesizer and vocoder.
2022.07.19： We added response time and Griffin-Lim vocoder results for demo_toolbox.
2022.07.29： We added model validation for encoder, synthesizer and vocoder.
2022.08.02： We added voxceleb train and dev data for encoder. We added noisereduce denoiser for the output wav from vocoder.
2022.08.06： We split the long text into short sentences using spacy for input of synthesizer. Make sure to install spaCy model en_core_web_sm by
python -m spacy download en_core_web_sm
2022.09.02： We set prop_decrease=0.6 for male and 0.9 for female in noisereduce function.(输出滤波，男女声使用不同的滤波参数)
2022.09.26： We added speed adjustment(声音变速) for output audios using praat, install parselmouth using pip: pip install praat-parselmouth
2022.10.10： We added voice filter functioning(声音美颜) for input audios, the weight ratio of the input audio embed and the standard audio embed is 7: 3.
2022.10.25： We set small values(<0.06) to zeros in embed.(对嵌入向量较小值置零)
2022.10.26： The split frequency for input audio is 170Hz. The split frequency for output noise reduce is 165Hz.
2022.12.01： merge the single sentences to input.
2022.12.31： added speaker embeddings dimension reduction visualzation results.
2023.01.01： did more text preprocessing and text cleaning for TTS text input.
2023.02.27： preprocessed ascii chars and abbreviations.
2023.06.09： We added VCTK train and dev data for synthesizer. We also combine a deep learning denoiser with the noisereduce denoiser for optimized output wav quality.