WebHiFi-GAN is a generative adversarial network for speech synthesis. HiFi-GAN consists of one generator and two discriminators: multi-scale and multi-period discriminators. The generator and discriminators are trained adversarially, along with two additional losses for improving training stability and model performance. The generator is a fully convolutional … Web4 de abr. de 2024 · FastPitch [1] is a fully-parallel text-to-speech model based on FastSpeech, conditioned on fundamental frequency contours. The model predicts pitch contours during inference. By altering these predictions, the generated speech can be more expressive, better match the semantic of the utterance, and in the end more engaging to …

EfficientSing: A Chinese Singing Voice Synthesis System Using Duration ...

WebPIXL: Princeton ImageX Labs WebFigure 1: The generator upsamples mel-spectrograms up to jk ujtimes to match the temporal resolution of raw waveforms. A MRF module adds features from jk rjresidual blocks of different kernel sizes and dilation rates. Lastly, the n-th residual block with kernel size k jiyang college of zhejiang a\\u0026f university

jik876/hifi-gan - Github

Web2.3训练声码器 (可选) 对效果影响不大，已经预置3款，如果希望自己训练可以参考以下命令。 预处理数据: python vocoder_preprocess.py -m 替换为你的数据集目录，替换为一个你最好的synthesizer模型目录，例如 … WebHiFiGAN generator module. Call self as a function. Adds a Parameter instance. Adds a sub Layer instance. Applies fn recursively to every sublayer (as returned by .sublayers ()) as well as self. Recursively apply weight normalization to all the Convolution layers in the sublayers. jiyao wang applied physics letter