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Found 4 papers, 2 papers with code
Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis
To overcome previous limitations, we propose effective methods for feature learning and representing target speakers' speech characteristics by discretizing the features and conditioning them to a speech synthesis model.
Class Label-aware Graph Anomaly Detection
Unsupervised GAD methods assume the lack of anomaly labels, i. e., whether a node is anomalous or not.
A Blockchain-based Platform for Reliable Inference and Training of Large-Scale Models
Decentralized solutions such as blockchain have been proposed to tackle these issues, but they often struggle when dealing with large-scale models, leading to time-consuming inference and inefficient training verification.
Avocodo: Generative Adversarial Network for Artifact-free Vocoder
Therefore, in this paper, we investigate the relationship between these artifacts and GAN-based vocoders and propose a GAN-based vocoder, called Avocodo, that allows the synthesis of high-fidelity speech with reduced artifacts.
