alefiury/SE-R-2022-SER-Track
Code for the winning solution in the SE&R 2022 Challenge - SER track.
This project offers a solution for automatically identifying emotions in spoken Portuguese audio. It takes raw audio segments as input and classifies them into 'neutral,' 'non-neutral female,' or 'non-neutral male' emotional states. This would primarily be used by researchers and practitioners working on speech analysis, emotion recognition, or natural language processing for Portuguese.
No commits in the last 6 months.
Use this if you need to analyze Portuguese speech recordings to detect emotional content, especially for spontaneous and prepared speech.
Not ideal if your primary goal is general-purpose Automatic Speech Recognition (transcription) rather than emotion analysis, or if you are working with languages other than Portuguese.
Stars
16
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 28, 2023
Commits (30d)
0
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