SRoL - Web-based Resources for Languages and Language Technology e-Learning

Abstract

The SRoL Web-based spoken language repository and tool collection includes thousands of voice recordings grouped on sections like "Basic sounds of the Romanian language", "Emotional voices", "Specific language processes", "Pathological voices", "Comparison of natural and synthetic speech", "Gnathophonics and gnathosonics". The recordings are annotated and documented according to proprietary methodology and protocols. Moreover, we included on the site extended documentation on the Romanian language, on speech technology, and on tools, produced by the SRoL team, for voice analysis. The resources are a part of the CLARIN European Network for Language Resources. The resources and tools are useful in virtual learning for phonetics of the Romanian language, speech technology, and medical subjects related to voice. We report on several applications in language learning and voice technology classes. Here, we emphasize the utilization of the SRoL resources in education for medicine and speech rehabilitation.

Language Processes and Related Statistics in the Posts Associated to Disasters on Social Networks

“…The research in the project and partly in this study also reflects the interest in detecting attitudes in messages and to a standing interest in detecting emotions in speech and texts as in the studies [9], [13], [25], [28].…”

“…It would be interesting to follow this study by a research of the uttering of the synonyms on voice-enabled SNs in view of detecting their emotional charge using various methods of characterization, such as those in [8], [9], [13], [28] that report on emotion recognition tools specifically for the Romanian language.…”

“…Notice that on Google+ the slope slightly differs from that on Twitter, indicating a lexiconbased personality of the two SNs. Additional results are given on the SRoL website described in [9]. …”

A study on automatic recognition of positive and negative emotions in speech

“…The first one is a subset of DB_PROF [15], a set of recordings of about 15 minutes for 5 speakers. The second and the third sets are subsets of DB100 [16], [17], [18], the second one having about 9 minutes of recordings.…”

Automatic fury recognition in audio records

“…We used two sets of records to study and recognize fury emotion: one set corresponding to professional voices and another set with amateur voices, which we labeled DB_PROF [5, 6,7] and DB_AMATEUR [8].…”