Learning New Words from Unlabeled Test Data in Automatic Speech Recognition

arXiv:2609.28877 · eess.AS, cs.CL · Submitted 2026-09-24 · Read on arXiv

eess.AS, cs.CL

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Adaptation — 26× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Personalization — 2× in this paper · explained in 2 episodes
• Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
• InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
• GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot
• Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities
• Qwen2-Audio Technical Report
• Scaling Laws for Neural Language Models
• Qwen3 Technical Report
• Gemma 3 Technical Report

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