Dataset · Hugging Face

KELONMYOSA/dusha_emotion_audio

Name: dusha_emotion_audio
Creator: KELONMYOSA
Keywords: task_categories:audio-classification, language:ru, size_categories:100K<n<1M, region:us

Dusha is a bi-modal corpus suitable for speech emotion recognition (SER) tasks. The dataset consists of audio recordings with Russian speech and their emotional labels. The corpus contains approximately 350 hours of data. Four basic emotions that usually appear in a dialog with a virtual assistant were selected: Happiness (Positive), Sadness, Anger and Neutral emotion.

View on Hugging FaceReport an issue

Author / organization	KELONMYOSA
Downloads	217 (as reported by Hugging Face)
Likes	2
Created	20 May 2023
Last updated at source	28 May 2023

Embed this entry

<iframe src="https://silytics.si/embed/item/8253c638-c534-4259-8f1b-b6401b35523f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

217 now (+3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

KELONMYOSA/wav2vec2-xls-r-300m-emotion-ruModel · used to train

Explore this entry in the graph

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.