intermediateaudio
Speech Emotion Recognition
Classify emotional content in speech following IEMOCAP and CREMA-D annotation schemes.
Dieses Design herunterladen
This design is available in our showcase. Copy the configuration below to get started.
Schnellstart:
# Create your project folder mkdir speech-emotion-recognition cd speech-emotion-recognition # Copy config.yaml from above potato start config.yaml
Details
Annotationstypen
radiolikert
Bereich
AudioSpeech
Anwendungsfälle
emotion recognitionaffective computingspeech analysis
Schlagwörter
audioemotionspeechiemocapaffective computing
Verwandte Designs
Audio Transcription Review
Review and correct automatic speech recognition transcriptions with waveform visualization.
likertmultiselect
Audio-Visual Sentiment Analysis
Rate sentiment in speech segments following CMU-MOSI and CMU-MOSEI multimodal annotation protocols.
likertradio
Speech Intelligibility Rating
Rate speech intelligibility for pathological speech following TORGO database annotation protocols.
likertradio