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KuralHubDatasetsPunjabi

Punjabi speech emotion recognition datasets

KuralHub lists 1 speech emotion recognition dataset for Punjabi. Each entry below gives the emotion labels, size, recording setup, licence, where to get it and how to cite it.

Language family
Indo-European (Indo-Aryan)
ISO code
pa
Spoken mainly in
India (Punjab)
Datasets listed
1
In benchmark
No

Datasets at a glance

DatasetTypeSamplesSpeakersRecordingAccessLicence
PEMOAudio2200060ActedOn request

PEMO

Type
Audio
Emotion labels
Anger, Sad, Happy, Neutral
Size
sample - 22000, speakers - 60, duration - 12h 35min
Speakers
60
Recording
Acted
Access
On request
Licence
Not stated
File format
.wav
Paper
Paper Link
Contact
chaitanya.singla246@gmail.com, tomrdev@gmail.com

The Punjabi Emotional Speech Database (PEMO) is a curated dataset designed for emotion recognition in Punjabi speech, consisting of 22,000 natural utterances (approximately 12 hours and 35 minutes) extracted from Punjabi films and web series. It includes recordings from 60 speakers, aged 20 to 45 years, covering four primary emotions: anger, sadness, happiness, and neutrality. The speech data is processed using PRAAT, and its emotional content is annotated by three experts in Punjabi, with the final label determined by majority agreement. PEMO serves as a valuable resource for both human and machine-based emotion recognition, contributing to the development of speech-based AI applications in Punjabi.

Citation

@article{singla2022pemo,
  title={PEMO: A new validated dataset for Punjabi speech emotion detection},
  author={Singla, Chaitanya and Singh, Sukhdev},
  journal={Int. J. Recent Innov. Trends Comput. Commun},
  volume={10},
  number={10},
  pages={52--58},
  year={2022}
}

Source: datasets/Punjabi/PEMO.md · Suggest an edit

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This page is generated from datasets/Punjabi/ in the KuralHub repository. If you use a dataset, cite its authors. If KuralHub helped you find it, please also cite the KuralHub paper.