Papers by Rachid Riad
Identification of Primary and Collateral Tracks in Stuttered Speech (2020.lrec-1)
Copied to clipboard
| Challenge: | Disfluency detection is a challenging task because of its different metrics depending on whether the input features are text or speech. |
| Approach: | They propose a framework for disfluency detection inspired by the clinical and the natural language processing perspective together with the theory of performance from (Clark, 1998) . they present a forced-aligned disfluence dataset and propose new audio features inspired by word-based span features. |
| Outcome: | The proposed framework outperforms baselines for speech-based predictions on a forced-aligned disfluency dataset from semi-directed interviews. |
Seshat: a Tool for Managing and Verifying Annotation Campaigns of Audio Data (2020.lrec-1)
Copied to clipboard
Hadrien Titeux, Rachid Riad, Xuan-Nga Cao, Nicolas Hamilakis, Kris Madden, Alejandrina Cristia, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux
| Challenge: | Seshat is a software for the automated management of annotation campaigns for audio/speech data. |
| Approach: | They propose a system for the automated management of annotation campaigns for audio/speech data which addresses these challenges. |
| Outcome: | The proposed system computes an associated inter-annotator agreement with the gamma measure taking into account the categorisation and segmentation discrepancies. |