ALL libraries (COBIB.SI union bibliographic/catalogue database)
-
Data driven symbolic prosody modeling [Elektronski vir]Stergar, Janez, 1968- ; Horvat, Bogomir, 1936- ; Kačič, ZdravkoIn this paper a data-driven approach in prediction of word level prosody breaks will be presented. A semi-automatic approach of symbolic prosody raw text annotation will be introduced together with a ... module for prediction of annotated tags for Slovenian language. The prediction module is based on an automatic learning technique, which depends on the construction of a large corpus labeled appropriately. This labeling can be done either automatically, or by hand. While automatic labeling can be less accurate than hand labeling, the latter is very time consuming and, in many cases, inconsistent. Therefore, we constructed an interactive tool for word level prosody annotation (major/minor breaks) as well as annotation of prominent words. Our major concern was speeding up the process of manual annotation withan increase of consistency and required time effort minimization. In parallel a semi-automatic approach for determining prosody breaks and prominent words for read speech was developed with the goal to support different speakers and new languages in the future. The labeled Slovenian corpus has been used to train our phrase break prediction module, implementinga neural network (NN). Experiments for the data-driven prediction of major=minor and major/minor phrase breaks were performed. The prediction accuracy achieved marks state-of-the-art word level prosody breaks prediction for the Slovenian language and is comparable to the prediction accuracy of other approaches in which more complex NN structures or other prediction methods were applied, and a much larger corpus was used for training.Source: Proceedings of the 15th International Congress of Phonetic Sciences [also] 15th IcPhS, Barcelona 3-9 August 2003 [Elektronski vir] (Str. 51-54)Type of material - conference contributionPublish date - 2003Language - englishCOBISS.SI-ID - 8135702
Shelf entry
Permalink
- URL:
Impact factor
Access to the JCR database is permitted only to users from Slovenia. Your current IP address is not on the list of IP addresses with access permission, and authentication with the relevant AAI accout is required.
Year | Impact factor | Edition | Category | Classification | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Select the library membership card:
If the library membership card is not in the list,
add a new one.
DRS, in which the journal is indexed
Database name | Field | Year |
---|
Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
---|---|
Stergar, Janez, 1968- | 14915 |
Horvat, Bogomir, 1936- | 03015 |
Kačič, Zdravko | 06821 |
Source: Personal bibliographies
and: SICRIS
Select pickup location:
Material pickup by post
Delivery address:
Address is missing from the member's data.
The address retrieval service is currently unavailable, please try again.
By clicking the "OK" button, you will confirm the pickup location selected above and complete the reservation process.
By clicking the "OK" button, you will confirm the above pickup location and delivery address, and complete the reservation process.
By clicking the "OK" button, you will confirm the address selected above and complete the reservation process.
Notification
Automatic login and reservation service currently not available. You can reserve the material on the Biblos portal or try again here later.
Subject headings in COBISS General List of Subject Headings
Select pickup location
The material from the parent unit is free. If the material is delivered to the pickup location from another unit, the library may charge you for this service.
Pickup location | Material status | Reservation |
---|
Reservation in progress
Please wait a moment.
Reservation was successful.
Reservation failed.
Reservation...
Membership card:
Pickup location: