Dusha is a dataset for speech emotion recognition (SER) tasks. The corpus contains approximately 350 hours of data, more than 300 000 audio recordings with Russian speech and their transcripts. It is annotated using a crowd-sourcing platform and includes two subsets: acted and real-life.
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Russian dataset of emotional speech dialogues. This dataset was assembled from ~3.5 hours of live speech by actors who voiced pre-distributed emotions in the dialogue for ~3 minutes each. <br> Each sample of dataset contains name of part from the original dataset studio source, speech file (16000 or 44100Hz) of human voice, 1 of 7 labeled emotions and the speech-to-texted part of voice speech. <br>
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