SpeechCommands V-2

The 'SpeechCommands V2' dataset is a benchmark that contains a collection of spoken commands used to evaluate the performance of audio classification models.

Papers using SpeechCommands V-2 (5)

On The Transferability Of Large-scale Self-supervision To Few-shot Audio Classification2024 · 2 citesAMAuT: A Flexible and Efficient Multiview Audio Transformer Framework Trained from Scratch2025 · 1 citesCascaded Cross-Modal Transformer for Audio-Textual Classification2024On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification2024Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification2024