In-Context Adaptation of Encoder-Decoder Models in Speech Recognition
cs.CL, cs.SD, eess.AS
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- MiMo-Audio: Audio Language Models are Few-Shot Learners
- In-Context Learning in Speech Language Models: Analyzing the Role of Acoustic Features, Linguistic Structure, and Induction Heads
- When Demonstrations Fail: Diagnosing the Limits of In-Context Learning in Large Audio-Language Models with Progressive Cue Removal
- Omnilingual ASR: Open-Source Multilingual Speech Recognition for 1600+ Languages
- Qwen3-ASR Technical Report
- Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
- Qwen2.5-Omni Technical Report
- Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation
- CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models
- Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation
- Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
- Qwen3 Technical Report
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