- speech-emotion-recognition VS Neural-Voice-Cloning-With-Few-Samples
- speech-emotion-recognition VS speech-music-detection
- speech-emotion-recognition VS deepface
- speech-emotion-recognition VS psych-verbs
- speech-emotion-recognition VS DeepPoseKit
- speech-emotion-recognition VS world-languages
- speech-emotion-recognition VS movie-recommender
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speech-emotion-recognition reviews and mentions
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4 tips for creating an impressive data science portfolio on GitHub
So instead of investing more time on these datasets, pick a new one of your own interest, apply different models and answer questions that you'd find insightful. I personally focused on projects that reflect my interest in Linguistics and NLP – you can explore data related to your experience or the industry you'd like to work in.
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lorenanda/speech-emotion-recognition is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of speech-emotion-recognition is Python.
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