EmoFilm - A multilingual emotional speech corpus
<p><strong>EmoFilm</strong> is a multilingual emotional speech corpus comprising 1115 audio instances produced in English, Italian, and Spanish languages. The audio clips (with a mean length of 3.5 sec. and std 1.2 sec.) were extracted in wave format (uncompressed, mono, 48 kHz sample rate and 16-bit) from 43 films (original in English and their over-dubbed Italian and Spanish versions). Genres including comedy, drama, horror, and thriller were considered; anger, contempt, happiness, fear, and sadness emotional states were taken into account. EmoFilm has been presented at Interspeech 2018:</p> <p>Emilia Parada-Cabaleiro, Giovanni Costantini, Anton Batliner, Alice Baird, and Björn Schuller (2018), <em>Categorical vs Dimensional Perception of Italian Emotional Speech</em>, in Proc. of Interspeech, Hyderabad, India, pp. 3638-3642 .</p> <p>We would like to thank Linda Ratz for her contribution in the generation of the transcriptions.</p> <p> </p> <p><strong>How to access EmoFilm</strong></p> <p>To get access to the dataset, please send the signed End User License Agreement (EULA) when making the request. The EULA <strong>must be signed by somebody from a university holding a permanent position</strong>, typically a full professor. Note that requests without an EULA appropriately filled out, as well as those performed from a non-institutional e-mail address, will be automatically rejected. Please download the EULA from the following link:</p> <p>https://drive.google.com/file/d/1pFHfsqk7snF_EVqq0WAC0Dz8FcTD3s9_/view?usp=share_link</p>
ShareScore
16/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 8