KSUEmotions
| Item Name: | KSUEmotions |
| Author(s): | Ali Hamid Meftah, Yousef Ajami Alotaibi, Sid-Ahmed Selouani |
| LDC Catalog No.: | LDC2017S12 |
| ISBN: | 1-58563-804-8 |
| ISLRN: | 012-801-947-534-7 |
| DOI: | https://doi.org/10.35111/q1eh-6457 |
| Release Date: | July 18, 2017 |
| Member Year(s): | 2017 |
| DCMI Type(s): | Sound, Text |
| Sample Type: | pcm |
| Sample Rate: | 16000 |
| Data Source(s): | microphone speech |
| Application(s): | prosody, speech recognition |
| Language(s): | Standard Arabic, Arabic |
| Language ID(s): | arb, ara |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2017S12 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Meftah, Ali Hamid, Yousef Alotaibi, and Sid-Ahmed Selouani. KSUEmotions LDC2017S12. Web Download. Philadelphia: Linguistic Data Consortium, 2017. |
| Related Works: | View |
Introduction
KSUEmotions was developed by King Saud University (KSU) and contains approximately five hours of emotional Modern Standard Arabic (MSA) speech from 23 subjects. Speakers were from three countries: Yemen, Saudi Arabia and Syria.
Subjects read MSA sentences from newswire text in the following emotions: neutral, anger, sadness, happiness, surprise, and interrogative (asking a question). Human reviewers then listened to the recordings to identify the emotion they heard..
Data
Audio was recorded in each participant's home. Audio is presented as 16-bit 16 kHz flac compressed wav. In addition to speech files and metadata about the speakers, timeless label files and automatic time segmentation alignment files are included. Text is presented as UTF-8 plain text.
Samples
Please listen to this audio sample.
Updates
None at this time.