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20242026
most citedLarge Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition

10 citations · 13 across the 20 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

Listen to the Latents: Self-Correcting Speech Recognition in Large Audio Language Models Through Hidden-State Interactions

Chan-Jan Hsu, Jaeyeon Kim, Chao-Han Huck Yang +3

Recent automatic speech recognition (ASR) systems increasingly integrate large language models (LLMs) to leverage their semantic knowledge, either externally through logit fusion o…

cs.CL2026

Bagpiper-TTS: Natural Language Guided Universal Speech Synthesis

Jinchuan Tian, Haoran Wang, Siddhant Arora +6

Classical TTS systems typically rely on rigid input formats and predefined metadata slots, limiting their ability to fulfill flexible user requirements. This paper introduces Bagpi…

cs.CL2026

Evaluating Large Language Models Abilities for Addressee, Turn-change, and Next Speaker Prediction in Meetings

Ryo Fukuda, Takatomo Kano, Siddhant Arora +7

We investigate turn-taking in multimodal multi-party conversations using large language models (LLMs). We construct an evaluation framework for three tasks: addressee detection, tu…

cs.CL2025★ 1 cited

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★ 1 cited

ESPnet-SpeechLM: An Open Speech Language Model Toolkit

Jinchuan Tian, Jiatong Shi, William Chen +13

We present ESPnet-SpeechLM, an open toolkit designed to democratize the development of speech language models (SpeechLMs) and voice-driven agentic applications. The toolkit standar…

cs.CL2024★ 10 cited

Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition

Chao-Han Huck Yang, Taejin Park, Yuan Gong +18

Given recent advances in generative AI technology, a key question is how large language models (LLMs) can enhance acoustic modeling tasks using text decoding results from a frozen,…

cs.CL2024

VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning

Yifan Peng, Krishna C. Puvvada, Zhehuai Chen +7

Recent studies have augmented large language models (LLMs) with speech capabilities, leading to the development of speech language models (SpeechLMs). Earlier SpeechLMs focused on…