Papers with forced-aligned disfluency
Identification of Primary and Collateral Tracks in Stuttered Speech (2020.lrec-1)
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| 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. |