The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …

Despite recent progress in generative adversarial network (GAN)-based vocoders, where
the model generates raw waveform conditioned on acoustic features, it is challenging to …

Most neural vocoders employ band-limited mel-spectrograms to generate waveforms. If full-
band spectral features are used as the input, the vocoder can be provided with as much …

The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

In recent text-to-speech synthesis and voice conversion systems, a mel-spectrogram is
commonly applied as an intermediate representation, and the necessity for a mel …

Fake audio detection is a growing concern and some relevant datasets have been designed
for research. However, there is no standard public Chinese dataset under complex …

This paper describes ESPnet2-TTS, an end-to-end text-to-speech (E2E-TTS) toolkit.
ESPnet2-TTS extends our earlier version, ESPnet-TTS, by adding many new features …

Neural vocoders based on the generative adversarial neural network (GAN) have been
widely used due to their fast inference speed and lightweight networks while generating …

Text-to-Speech (TTS) and Voice Conversion (VC) models have exhibited remarkable
performance in generating realistic and natural audio. However, their dark side, audio …

Video-to-speech synthesis (also known as lip-to-speech) refers to the translation of silent lip
movements into the corresponding audio. This task has received an increasing amount of …