title: Combining Syntactic and Acoustic Features for Prosodic Boundary Detection in Russian
metadata.name: dc.contributor.author
metadata.value: Kocharov, Daniil
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kachkovskaia, Tatiana
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Mirzagitova, Aliya
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Skrelin, Pavel
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2017-01-18T08:45:00Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2017-01-18T08:45:00Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2016
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/5940
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: This paper presents a two-step method of automatic prosodic boundary detection using both textual and acoustic features. Firstly, we predict possible boundary positions using textual features; secondly, we detect the actual boundaries at the predicted positions using acoustic features. For evaluation of the algorithms we use a 26-h subcorpus of CORPRES, a prosodically annotated corpus of Russian read speech. We have also conducted two independent experiments using acoustic features and textual features separately. Acoustic features alone enable to achieve the F1 measure of 0.85, precision of 0.94, recall of 0.78. Textual features alone work with the F1 measure of 0.84, precision of 0.84, recall of 0.83. The proposed two-step approach combining the two groups of features yields the efficiency of 0.90, recall of 0.85 and precision of 0.99. It preserves the high recall provided by textual information and the high precision achieved using acoustic information. This is the best published result for Russian.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: Springer International Publishing
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: 9918;
metadata.lang: -
metadata.name: dc.subject
metadata.value: Speech prosody
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Prosodic boundary
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Syntactic parsing
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Sentence segmentation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Automatic boundary detection
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Statistical analysis
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Combining Syntactic and Acoustic Features for Prosodic Boundary Detection in Russian
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: Combining Syntactic and Acoustic Features for Prosodic Boundary Detection in Russian.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/5940/1/Combining%20Syntactic%20and%20Acoustic%20Features%20for%20Prosodic%20Boundary%20Detection%20in%20Russian.pdf
resources.format: Adobe PDF
resources.size: 77,36 kB