SpeechCommands V-2
Emerging6papers using it
2022first seen
SpeechCommandsV2-C (SC2-C) serves as a benchmark for DHAuDS in the context of test-time adaptation for audio classification. SC2-C, a subset of SpeechCommands V2, utilizes only test-set samples to address domain shift. Each sample in SC2-C has a duration of 1 second, a sample rate of 16 kHz, and belongs to one of 35 cl
Papers using SpeechCommands V-2 (6)
- AMAuT: A Flexible and Efficient Multiview Audio Transformer Framework Trained from ScratchFrom Physics to Representation: Audio Learning with Synthetic Pre-training via Procedural GenerationComposing General Audio Representation by Fusing Multilayer Features of
a Pre-trained ModelCascaded Cross-Modal Transformer for Audio-Textual ClassificationOn the Transferability of Large-Scale Self-Supervision to Few-Shot Audio
ClassificationEpisodic fine-tuning prototypical networks for optimization-based
few-shot learning: Application to audio classification