Automatically assigned DDC number: 006454

Manually assigned DDC number: 006454

Title: Syllable Detection In Read And Spontaneous Speech




Subject: Hartmut R. Pfitzinger,Susanne Burger,Sebastian Heid Syllable Detection In Read And Spontaneous Speech

Description: Automatic syllable detection is an important task when analysing very large speech corpora in order to answer questions concerning prosody, rhythm, speech rate, speech recognition and synthesis. In this paper a new method for automatic detection of syllable nuclei is presented. Two large spoken language corpora (PhonDatII, Verbmobil) were labelled by three phoneticians and then used to adjust the key parameters of the algorithm and to evaluate its error rate. Additionally, parts of the corpora were used to test the inter- and intra-individual consistency of the transcribers. The evaluation of the algorithm currently shows an error rate of 12.87% for read speech and 21.03% for spontaneous speech. The inter-individual consistency of 95.8% might be considered as an upper limit for any automatic detection method.

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1996-11-06

Pubyear: 1996

Format: ps



Language: en

Rights: unrestricted


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