Context-Aware Interleaved Batching for WhisperX

arXiv:2608.31170 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Accuracy — 18× in this paper · explained in 1 episode
• Proper Noun — 9× in this paper
• Hallucination — 8× in this paper · explained in 3 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Word Error Rate — 3× in this paper
• Decoupling — 2× in this paper · explained in 2 episodes
• LLM Punctuation Score — 2× in this paper
• Transformer — 2× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Voice Activity Detection — 1× in this paper

Sources

• Robust Speech Recognition via Large-Scale Weak Supervision
• Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Data
• WhisperX: Time-Accurate Speech Transcription of Long-Form Audio
• LASER: An LLM-based ASR Scoring and Evaluation Rubric
• Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability

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