PVS step 2 – Fine-tuning a PVS model with the DLAS toolkit

Fine-tuning a PVS model is a critical step in creating personalized voices that capture the unique characteristics of a voice. To achieve high-quality results, utilizing a robust framework that leverages state-of-the-art techniques and provides flexibility in customizing the training process is essential. The DLAS toolkit emerges as a comprehensive solution for fine-tuning PVS models, offering a range of features and capabilities.

Before starting the fine-tuning process, ensuring that the necessary components and resources are in place is crucial. This includes setting up a suitable training environment, such as Google Colab, which provides access to powerful GPUs and sufficient RAM to handle the computational demands of PVS models. Checking the availability and compatibility of NVIDIA GPUs is vital to ensuring optimal performance during training.

The dataset preparation phase is another essential aspect of fine...