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In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties

20 May 2025
Nathan Roll
C. Graham
Yuka Tatsumi
Kim Tien Nguyen
Meghan Sumner
Dan Jurafsky
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)

Papers citing "In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties"

4 / 4 papers shown
POWSM: A Phonetic Open Whisper-Style Speech Foundation Model
POWSM: A Phonetic Open Whisper-Style Speech Foundation Model
Chin-Jou Li
Kalvin Chang
Shikhar Bharadwaj
Eunjung Yeo
Kwanghee Choi
Jian Zhu
David R. Mortensen
Shinji Watanabe
97
1
0
28 Oct 2025
TICL: Text-Embedding KNN For Speech In-Context Learning Unlocks Speech Recognition Abilities of Large Multimodal Models
TICL: Text-Embedding KNN For Speech In-Context Learning Unlocks Speech Recognition Abilities of Large Multimodal Models
Haolong Zheng
Yekaterina Yegorova
Mark Hasegawa-Johnson
126
1
0
16 Sep 2025
On The Landscape of Spoken Language Models: A Comprehensive Survey
On The Landscape of Spoken Language Models: A Comprehensive Survey
Siddhant Arora
Kai-Wei Chang
Chung-Ming Chien
Yifan Peng
Haibin Wu
Yossi Adi
Emmanuel Dupoux
Hung-yi Lee
Karen Livescu
Shinji Watanabe
361
66
0
11 Apr 2025
PolyPrompt: Automating Knowledge Extraction from Multilingual Language Models with Dynamic Prompt Generation
PolyPrompt: Automating Knowledge Extraction from Multilingual Language Models with Dynamic Prompt Generation
Nathan Roll
303
2
0
27 Feb 2025
1