GitHub

UNet-MNIST-to-Spectrogram

This project develops a neural network that transforms a low-resolution digit image (28×28) from the MNIST/EMNIST dataset into a high-resolution spectrogram (1008×1008) that encodes the harmonic ...
IEEE

Non-Autoregressive Fully Parallel Deep Convolutional Neural Speech Synthesis

Abstract: Deep learning-based speech synthesis evolves by employing a sequence-to-sequence (seq2seq) structure with an attention mechanism. The seq2seq speech synthesis model consists of a pair of the ...
Europe PMC

E-DGAN: An Encoder-Decoder Generative Adversarial Network Based Method for Pathological to Normal Voice Conversion.

In recent years, more and more people suffer from voice-related diseases. Given the limitations of current pathological speech conversion methods, that is, a method can only convert a single kind of ...
GitHub

convert_music_spectrogram_to_diffusers.py

model.token_embedder.weight = nn.Parameter(torch.Tensor(weights["token_embedder"]["embedding"])) model.position_encoding.weight = nn.Parameter(torch.Tensor(weights ...