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20142026
most citedMERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

28 citations · 271 across the 94 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Audio-Based Understanding of Audiobook Narration Appeal

Shahar Elisha, Mariano Beguerisse-Díaz, Emmanouil Benetos

Narration is central to the audiobook listening experience, shaping how listeners engage with and understand the content. This work explores how narration qualities shape an audiob…

cs.CL2024

Classification of Spontaneous and Scripted Speech for Multilingual Audio

Shahar Elisha, Andrew McDowell, Mariano Beguerisse-Díaz +1

Distinguishing scripted from spontaneous speech is an essential tool for better understanding how speech styles influence speech processing research. It can also improve recommenda…

cs.CL2024

OmniBench: Towards The Future of Universal Omni-Language Models

Yizhi Li, Yinghao Ma, Ge Zhang +20

Recent advancements in multimodal large language models (MLLMs) have aimed to integrate and interpret data across diverse modalities. However, the capacity of these models to concu…

cs.CL2024★ 2 cited

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

Ge Zhang, Scott Qu, Jiaheng Liu +42

Large Language Models (LLMs) have made great strides in recent years to achieve unprecedented performance across different tasks. However, due to commercial interest, the most comp…

cs.CL2023★ 3 cited

LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT

Le Zhuo, Ruibin Yuan, Jiahao Pan +10

We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic lyrics transcription method achieving state-of-the-art performance on various lyrics transcription datasets,…