CMU Kids
Emerging4papers using it
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2022first seen
The 'CMU Kids' dataset is a benchmark used to evaluate the performance of Automatic Speech Recognition (ASR) systems specifically on children's speech, highlighting the challenges posed by its distinct acoustic and linguistic characteristics.
🤗 Hugging Face⚖ mit
Papers using CMU Kids (4)
- Can Layer-wise SSL Features Improve Zero-Shot ASR Performance for Children's Speech?Layer-Wise Analysis of Self-Supervised Representations for Age and Gender Classification in Children's SpeechA Wav2vec2-Based Experimental Study on Self-Supervised Learning Methods
to Improve Child Speech RecognitionFilter-based Discriminative Autoencoders for Children Speech Recognition