IITKGP-SESC
Indian Institute of Technology Kharagpur Simulated Emotion Speech Corpus
- Type
- Audio
- Emotion labels
- Happiness, Surprise, Anger, Disgust, Sadness, Fear, Sarcasm, Neutral
- Size
- samples - 12000, speakers - 10
- Speakers
- 10
- Recording
- Acted
- Access
- On request
- Licence
- Not stated
- File format
- .wav
- Website
- Dataset Homepage
- Paper
- Paper Link
- Contact
- ksrao@iitkgp.ac.in
The IITKGP Simulated Emotion Speech Corpus (IITKGP-SESC) is a Telugu speech emotion dataset recorded using professional artists from All India Radio (AIR), Vijayawada, India. It contains emotionally simulated speech covering eight emotions: Happiness, Surprise, Anger, Disgust, Sadness, Fear, Sarcasm, and Neutral, derived from neutral statements. The dataset is designed for emotion analysis in speech, enabling the development of emotion-specific models using features from the vocal tract system, excitation source, and prosody. The quality of emotions is validated through subjective listening tests, and statistical models are used for classification.
Citation
@InProceedings{10.1007/978-3-642-03547-0_46,
author="Koolagudi, Shashidhar G.
and Maity, Sudhamay
and Kumar, Vuppala Anil
and Chakrabarti, Saswat
and Rao, K. Sreenivasa",
editor="Ranka, Sanjay
and Aluru, Srinivas
and Buyya, Rajkumar
and Chung, Yeh-Ching
and Dua, Sumeet
and Grama, Ananth
and Gupta, Sandeep K. S.
and Kumar, Rajeev
and Phoha, Vir V.",
title="IITKGP-SESC: Speech Database for Emotion Analysis",
booktitle="Contemporary Computing",
year="2009",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="485--492",
abstract="In this paper, we are introducing the speech database for analyzing the emotions present in speech signals. The proposed database is recorded in Telugu language using the professional artists from All India Radio (AIR), Vijayawada, India. The speech corpus is collected by simulating eight different emotions using the neutral (emotion free) statements. The database is named as Indian Institute of Technology Kharagpur Simulated Emotion Speech Corpus (IITKGP-SESC). The proposed database will be useful for characterizing the emotions present in speech. Further, the emotion specific knowledge present in speech at different levels can be acquired by developing the emotion specific models using the features from vocal tract system, excitation source and prosody. This paper describes the design, acquisition, post processing and evaluation of the proposed speech database (IITKGP-SESC). The quality of the emotions present in the database is evaluated using subjective listening tests. Finally, statistical models are developed using prosodic features, and the discrimination of the emotions is carried out by performing the classification of emotions using the developed statistical models.",
isbn="978-3-642-03547-0"
}