Research map / Label-efficient and robust learning / Recognition and long-tail

In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations

ICLR 2023 · Label-efficient and robust learning › Recognition and long-tail · approach: Multilingual language representation pretraining

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Closest papers by meaning

• Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models (NeurIPS 2024 · similarity 0.89)
• Boosting ASR Robustness via Test-Time Reinforcement Learning with Audio-Text Semantic Rewards (AAAI 2026 · similarity 0.88)
• Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning (ICML 2023 · similarity 0.88)
• Almost Unsupervised Text to Speech and Automatic Speech Recognition (ICML 2019 · similarity 0.87)
• DELTA-TTS: Adapting Autoregressive Model into a Diffusion Language Model for Text-to-Speech (NeurIPS 2026 · similarity 0.86)
• Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration (AAAI 2025 · similarity 0.86)