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Found 5 papers, 2 papers with code
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
Decoding inner speech from the brain signal via hybridisation of fMRI and EEG data is explored to investigate the performance benefits over unimodal models.
Predicting pairwise preferences between TTS audio stimuli using parallel ratings data and anti-symmetric twin neural networks
While previous work has focused on predicting listeners' ratings (mean opinion scores) of individual stimuli, we focus on the simpler task of predicting subjective preference given two speech stimuli for the same text.
Using generative modelling to produce varied intonation for speech synthesis
A generative model that can synthesise multiple prosodies will, by design, not model average prosody.
Median-Based Generation of Synthetic Speech Durations using a Non-Parametric Approach
This paper proposes a new approach to duration modelling for statistical parametric speech synthesis in which a recurrent statistical model is trained to output a phone transition probability at each timestep (acoustic frame).
RSS-TOBI - A Prosodically Enhanced Romanian Speech Corpus
This paper introduces a recent development of a Romanian Speech corpus to include prosodic annotations of the speech data in the form of ToBI labels.
