ASR benchmarks
Emerging6papers using it
2022first seen
The 'ASR benchmarks' dataset is used to evaluate the performance of discrete speech units (DSUs) in automatic speech recognition tasks.
Papers using ASR benchmarks (6)
- Discrete Speech Unit Extraction via Independent Component AnalysisLeveraging Soft Distributions of SSL-Derived Discrete Speech Tokens for Downstream InferenceSteer-MoE: Efficient Audio-Language Alignment with a Mixture-of-Experts Steering ModuleEntropy-based Coarse and Compressed Semantic Speech Representation LearningWhisperNER: Unified Open Named Entity and Speech RecognitionCoBERT: Self-Supervised Speech Representation Learning Through Code
Representation Learning