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 ...

Auditory stimulus reconstruction is a technique that finds the best approximation of the acoustic stimulus from the population of evoked neural activity. Reconstructing speech from the human auditory ...

Decoding natural language directly from neural activity is of great interest to people with limited communication means. Being a non-invasive and convenient approach, the electroencephalogram (EEG) ...

When engaged in a conversation, one receives auditory information from the other’s speech but also from their own speech. However, this information is processed differently by an effect called ...

Machine Learning is easy, at least, on a superficial level. You have some numerical array (maybe you call them tensors, because of high dimensionality, sometimes). Thats your input. Sometimes you ...

Advanced Speech Emotion Detection (SED) using spectrogram analysis and deep learning offers a nuanced and accurate method for interpreting human emotions from speech. By transforming raw speech data ...

Patients suffering from Parkinson's disease suffer from voice impairment. In this study, we introduce models to classify normal and Parkinson's patients using their speech. We used an AST (audio ...

This repository containts my works on speech emotion recognition using spectrogram of the utterances as input. Spectrogram contains time-frequency information which reflects the acoustic cues, ...

The patent application (Publication Number: US20240038249A1) describes a method for applying a watermark signal to a speech signal to prevent unauthorized use. The method involves receiving an ...