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Found 5 papers, 2 papers with code
Exposing the Functionalities of Neurons for Gated Recurrent Unit Based Sequence-to-Sequence Model
The goal of this paper is to report certain scientific discoveries about a Seq2Seq model.
Learning Phone Recognition from Unpaired Audio and Phone Sequences Based on Generative Adversarial Network
GAN training is adopted in the first stage to find the mapping relationship between unpaired speech and phone sequence.
AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization
With a proper activation as an information bottleneck on content embeddings, the trade-off between the synthesis quality and the speaker similarity of the converted speech is improved drastically.
Audio and Speech Processing Sound
VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture
Voice conversion (VC) is a task that transforms the source speaker's timbre, accent, and tones in audio into another one's while preserving the linguistic content.
Speech-to-Singing Conversion based on Boundary Equilibrium GAN
Specifically, given a speech input, and optionally the F0 contour of the target singing, the proposed model generates as the output a singing signal with a progressive-growing encoder/decoder architecture and boundary equilibrium GAN loss functions.
