Abstract: The quality of raw audio waveform generated by a vocoder could affect various audio generative tasks. In recent years, the dominance of source-filter vocoders was greatly challenged by ...

Abstract: A new neural network architecture is proposed that can be used to convert Mel spectrograms into an audio signal. The architecture is designed from the ground up to be run on a mobile device, ...

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References [1] High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling [2] Low-latency real-time ...

This repository is an implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. This was my master's ...