Orthographic Transcription: Which Enrichment is required for Phonetization?

International audienceThis paper addresses the problem of the enrichment of transcriptions in the perspective of an automatic phonetization. Phonetization is the process of representing sounds with phonetic signs. There are two general ways to construct a phonetization process: rule based systems (with rules based on inference approaches or proposed by expert linguists) and dictionary based solutions which consist in storing a maximum of phonological knowledge in a lexicon. In both cases, phonetization is based on a manual transcription. Such a transcription is established on the basis of conventions that can differ depending on their working out context. This present study focuses on three different enrichments of such a transcription. Evaluations compare phonetizations obtained from automatic systems to a reference phonetized manually. The test corpus is made of three types of speech in French: conversational speech, read speech and political debate. A specific algorithm for the rule-based system is proposed to deal with enrichments. The final system obtained a phonetization of about 95.2% correct (from 3.7% to 5.6% error rates depending on the corpus)

Influence de la transcription sur la phonétisation automatique de corpus oraux

International audienceNotre objectif vise à estimer l'influence de différents niveaux d'enrichissement de la transcription sur l'étape de phonétisation de l'oral. Cette étude a été réalisée sur un corpus test de 7 minutes, réparties entre trois types de données différentes (parole conversationnelle spontanée, lecture et discours politique). Les résultats montrent que plus la transcription bénéficie d'enrichissements, meilleure est la phonétisation obtenue, quel que soit le type de corpus

Sensory gating in adult with attention-deficit/hyperactivity disorder: Event-evoked potential and perceptual experience reports comparisons with schizophrenia

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