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New MERaLiON-GR model achieves state-of-the-art gender recognition across multiple languages

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Researchers have developed MERaLiON-GR, a novel speech gender recognition model capable of classifying gender for both English and several Southeast Asian languages. This model is built upon MERaLiON-SpeechEncoder-2, a conformer-based transformer, and utilizes Low-Rank Adaptation (LoRA) for efficient fine-tuning. MERaLiON-GR demonstrates superior performance compared to existing state-of-the-art models like Vox-Profile and a large Audio-LLM across various evaluation modes and languages, including Chinese, Malay, Tamil, Thai, Vietnamese, Indonesian, and Khmer. AI

IMPACT This research advances multilingual speech processing capabilities, potentially improving accessibility and understanding across diverse linguistic communities.

RANK_REASON The item is an academic paper detailing a new model and its performance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New MERaLiON-GR model achieves state-of-the-art gender recognition across multiple languages

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The item is an academic paper detailing a new model and its performance. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Qiongqiong Wang, Ai Ti Aw, Nancy F. Chen, Ying Lay Chiu, Yang Ding, Yingxu He, Ridong Jiang, Zhuohan Liu, Yanfeng Lu, Yi Ma, Muhammad Huzaifah, Nabilah Binte Md Johan, Nattadaporn Lertcheva, Pham Minh Duc, Sailor Hardik Bhupendra, Siti Umairah Binte Moha… ·

    MERaLiON-GR: Speech Gender Recognition Model for English and SEA Languages

    arXiv:2608.04433v1 Announce Type: cross Abstract: We present MERaLiON-GR, a speech gender recognition system that performs binary classification (female / male) on English and Southeast Asian (SEA) languages. The model finetunes MERaLiON-SpeechEncoder-2, a large conformer based t…

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