Automatic Detection and Annotation of Disfluencies in Spoken French Corpora
(2015) Interspeech 2015 — Location: Dresden, Germany (6.September.2015)
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- Authors
Christodoulides, George 
- Abstract
- In this paper we propose a multi-step system for the semiautomatic detection and annotation of disfluencies in spoken corpora. A set of rules, statistical models and machine learning techniques are applied to the input, which is a transcription aligned to the speech signal. The system uses the results of an automatic estimation of prosodic, part-of-speech and shallow syntactic features. We present a detailed coding scheme for simple disfluencies (filled pauses, mispronunciations, false starts, drawls and intra-word pauses), structured disfluencies (repetitions, deletions, substitutions, insertions) and complex disfluencies. The system is trained and evaluated on a transcribed corpus of spontaneous French speech, consisting of 112 different speakers and balanced for speaker age and sex, covering 14 different varieties of French spoken in Belgium, France and Switzerland.
- Affiliations
Citations
Christodoulides, G., & Avanzi, M. (2015). Automatic Detection and Annotation of Disfluencies in Spoken French Corpora. Interspeech 2015, Dresden, Germany. https://hdl.handle.net/2078.5/191407