A mini, simple, and fast end-to-end automatic speech recognition toolkit.
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Updated
Dec 6, 2022 - Jupyter Notebook
A mini, simple, and fast end-to-end automatic speech recognition toolkit.
EMO-SUPERB: a reproducible speech emotion recognition benchmark with leakage-free splits for 6 datasets and 15 speech SSL models (IEEE SLT 2024)
SCORE: Self-supervised Correspondence Fine-tuning for Improved Content Representations
LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks
How the annotator's stimulus modality (voice-only, face-only, audio-visual) changes speech emotion recognition performance (ICASSP 2025)
Project page for EMO-SUPERB: a reproducible speech emotion recognition benchmark with leakage-free splits for 6 datasets and 15 speech SSL models (IEEE SLT 2024)
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