Temporal Taxation Compounds Under Post-Training Compression of Whisper Models

arXiv:2609.28739 · cs.CL, cs.SD · Submitted 2026-09-23 · Read on arXiv

cs.CL, cs.SD

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Quantization — 41× in this paper · explained in 12 episodes
• Pruning — 37× in this paper · explained in 4 episodes
• Distillation — 19× in this paper · explained in 2 episodes
• Calibration — 10× in this paper · explained in 7 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Hallucination — 3× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Accountability — 2× in this paper · explained in 2 episodes
• Elias — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Provenance — 2× in this paper · explained in 4 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Eleventh International Conference on Learning Representations — 1× in this paper
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Pseudo-labels — 1× in this paper · explained in 2 episodes
• Quantization-Aware Training — 1× in this paper · explained in 3 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Quantization for OpenAI's Whisper Models: A Comparative Analysis
• Beyond Word Error Rate: Auditing the Diversity Tax in Speech Recognition through Dataset Cartography
• Do LLM Decoders Listen Fairly? Benchmarking How Language Model Priors Shape Bias in Speech Recognition
• What Do Compressed Deep Neural Networks Forget?
• Characterising Bias in Compressed Models
• Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models
• Efficient Compression of Multitask Multilingual Speech Models
• Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling
• Reexamining Racial Disparities in Automatic Speech Recognition Performance: The Role of Confounding by Provenance
• Towards measuring fairness in speech recognition: Fair-Speech dataset

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