Abstract: This study proposes an innovative speech translation method based on Pix2PixGAN, which maps the Mel spectrograms of speech produced by deaf individuals to those of normal-hearing individuals ...

Abstract: Acoustic features play an important role in improving the quality of the synthesised speech. Currently, the Mel spectrogram is a widely employed acoustic feature in most acoustic models.

Recent studies have successfully shown how style transfer can be applied on images from one domain to another. In this project we attempt to use this technique to embed emotions in spectrogram images.

Spectrogram Analysis: Generate a spectrogram of the audio signal and identify both local and global peaks within the waveform. Peak Smoothing: Apply an average filter to the corrected waveform to ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...