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From the 2 of 17 linked papers with an AI index.

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20242026
most citedCross-lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition

1 citations · 1 across the 3 of their papers we have counts for

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cs.CL20261 cited

Cross-lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition

Zhengdong Yang, Qianying Liu, Sheng Li +2

We present a novel approach centered on the decoding stage of Automatic Speech Recognition (ASR) that enhances multilingual performance, especially for low-resource languages. It u…

cs.CL2025

SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models

Zhen Wan, Chao-Han Huck Yang, Yahan Yu +8

We introduce Speech-based Intelligence Quotient (SIQ) as a new form of human cognition-inspired evaluation pipeline for voice understanding large language models, LLM Voice, design…

cs.CL2025

A Unified Speech LLM for Diarization and Speech Recognition in Multilingual Conversations

Phurich Saengthong, Boonnithi Jiaramaneepinit, Sheng Li +2

Speech Large Language Models (Speech LLMs) have emerged as a crucial paradigm in recent years, extending the capabilities of traditional LLMs to speech tasks such as automatic spee…

cs.CL2025

Language-Aware Prompt Tuning for Parameter-Efficient Seamless Language Expansion in Multilingual ASR

Hongli Yang, Sheng Li, Hao Huang +2

Recent advancements in multilingual automatic speech recognition (ASR) have been driven by large-scale end-to-end models like Whisper. However, challenges such as language interfer…

cs.CL2025

Adapting Whisper for Parameter-efficient Code-Switching Speech Recognition via Soft Prompt Tuning

Hongli Yang, Yizhou Peng, Hao Huang +1

Large-scale multilingual ASR models like Whisper excel in high-resource settings but face challenges in low-resource scenarios, such as rare languages and code-switching (CS), due…