ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.14887
  4. Cited By
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
Author Contacts:
nroll@stanford.edu
ArXiv (abs)PDFHTML

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

15 / 15 papers shown
Title
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
129
14
0
11 Apr 2025
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Abdelrahman Abouelenin
Atabak Ashfaq
Adam Atkinson
Hany Awadalla
Nguyen Bach
...
Ishmam Zabir
Yunan Zhang
Li Zhang
Yanzhe Zhang
Xiren Zhou
MoESyDa
102
59
0
03 Mar 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
134
1
0
27 Feb 2025
Qwen-Audio: Advancing Universal Audio Understanding via Unified
  Large-Scale Audio-Language Models
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Yunfei Chu
Jin Xu
Xiaohuan Zhou
Qian Yang
Shiliang Zhang
Zhijie Yan
Chang Zhou
Jingren Zhou
AuLLM
100
340
0
14 Nov 2023
SALM: Speech-augmented Language Model with In-context Learning for
  Speech Recognition and Translation
SALM: Speech-augmented Language Model with In-context Learning for Speech Recognition and Translation
Zhehuai Chen
He Huang
A. Andrusenko
Oleksii Hrinchuk
Krishna C. Puvvada
Jason Chun Lok Li
Subhankar Ghosh
Jagadeesh Balam
Boris Ginsburg
LRM
68
58
0
13 Oct 2023
Can Whisper perform speech-based in-context learning?
Can Whisper perform speech-based in-context learning?
Siyin Wang
Chao-Han Huck Yang
Ji Wu
Chao Zhang
83
28
0
13 Sep 2023
End-to-End Speech Recognition: A Survey
End-to-End Speech Recognition: A Survey
Rohit Prabhavalkar
Takaaki Hori
Tara N. Sainath
Ralf Schluter
Shinji Watanabe
VLM
60
164
0
03 Mar 2023
Adapting Multilingual Speech Representation Model for a New,
  Underresourced Language through Multilingual Fine-tuning and Continued
  Pretraining
Adapting Multilingual Speech Representation Model for a New, Underresourced Language through Multilingual Fine-tuning and Continued Pretraining
Karol Nowakowski
M. Ptaszynski
Kyoko Murasaki
Jagna Nieuwazny
47
26
0
18 Jan 2023
Robust Speech Recognition via Large-Scale Weak Supervision
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford
Jong Wook Kim
Tao Xu
Greg Brockman
C. McLeavey
Ilya Sutskever
OffRL
191
3,684
0
06 Dec 2022
Representative Subset Selection for Efficient Fine-Tuning in
  Self-Supervised Speech Recognition
Representative Subset Selection for Efficient Fine-Tuning in Self-Supervised Speech Recognition
Abdul Hameed Azeemi
I. Qazi
Agha Ali Raza
98
2
0
18 Mar 2022
HuBERT: Self-Supervised Speech Representation Learning by Masked
  Prediction of Hidden Units
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu
Benjamin Bolte
Yao-Hung Hubert Tsai
Kushal Lakhotia
Ruslan Salakhutdinov
Abdel-rahman Mohamed
SSL
180
2,966
0
14 Jun 2021
Lightweight Adapter Tuning for Multilingual Speech Translation
Lightweight Adapter Tuning for Multilingual Speech Translation
Hang Le
J. Pino
Changhan Wang
Jiatao Gu
D. Schwab
Laurent Besacier
98
90
0
02 Jun 2021
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech
  Representations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski
Henry Zhou
Abdel-rahman Mohamed
Michael Auli
SSL
285
5,801
0
20 Jun 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati
James Qin
Chung-Cheng Chiu
Niki Parmar
Yu Zhang
...
Wei Han
Shibo Wang
Zhengdong Zhang
Yonghui Wu
Ruoming Pang
223
3,139
0
16 May 2020
Learning to adapt: a meta-learning approach for speaker adaptation
Learning to adapt: a meta-learning approach for speaker adaptation
Ondˇrej Klejch
Joachim Fainberg
P. Bell
47
31
0
30 Aug 2018
1