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Add Emozionalmente dataset to the list #36

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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -36,6 +36,10 @@ There are two main types of audio datasets: speech datasets and audio event/musi
* [EmotionTTS](https://github.com/emotiontts/emotiontts_open_db) - Recordings and their associated transcriptions by a diverse group of speakers - 4 emotions: general, joy, anger, and sadness.
* [Emov-DB](https://mega.nz/#F!KBp32apT!gLIgyWf9iQ-yqnWFUFuUHg!mYwUnI4K) - Recordings for 4 speakers- 2 males and 2 females; The emotional styles are neutral, sleepiness, anger, disgust and amused.
* [EMOVO](http://voice.fub.it/activities/corpora/emovo/index.html) - 6 actors who played 14 sentences; 6 emotions: disgust, fear, anger, joy, surprise, sadness.
* Emozionalmente - An emotional acted corpus of 6902 samples produced by 431 non-professional Italian speakers, each verbalizing 18 sentences while simulating anger, disgust, fear, joy, sadness, surprise, plus neutrality.
- [Paper](https://ieeexplore.ieee.org/abstract/document/10879457)
- [Colab demo](https://colab.research.google.com/drive/1P2qHb7mwYZSPxbQZ07S7NDH-2vWv38YS?usp=sharing)
- [Zenodo](https://zenodo.org/records/12616095)
* [eNTERFACE05](http://www.enterface.net/enterface05/docs/results/databases/project2_database.zip) - Videos by 42 subjects, coming from 14 different nationalities; 6 emotions: anger, fear, surprise, happiness, sadness and disgust.
* [Free Spoken Digit Dataset](https://github.com/Jakobovski/free-spoken-digit-dataset) -4 speakers, 2,000 recordings (50 of each digit per speaker), English pronunciations.
* [Flickr Audio Caption](https://groups.csail.mit.edu/sls/downloads/flickraudio/) - 40,000 spoken captions of 8,000 natural images, 4.2 GB in size.
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