Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency
In recent years generative adversarial network (GAN) based models have been successfully applied for unsupervised speech-to-speech conversion.The rich compact harmonic view of the magnitude spectrogram is considered a suitable choice for training these models with audio data. To reconstruct the speech signal first a magnitude spectrogram is generated by the neural network, which is then utilized by methods like the Griffin-Lim algorithm to reconstruct a phase spectrogram... (read more)
PDFTasks
Datasets
LibriSpeech
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Griffin-Lim Algorithm
|
Phase Reconstruction |