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English(EN) What will be the next breakthrough in ASR? [D]

ASR模型通过新架构和海量监督数据取得进展

自动语音识别(ASR)领域正经历快速发展,主要由两个因素驱动:伪标记数据的可用性不断增加以及新模型架构的出现。虽然Whisper-large-v3和Nvidia Parakeet v3等模型展示了大规模监督训练的强大能力,但讨论引发了一个问题:自监督学习方法是否会被ASR任务淘汰。这与计算机视觉领域形成对比,在计算机视觉领域,Dinov3等自监督方法表现出色,这引发了对语音处理领域类似突破的猜测。 AI

影响 讨论探讨了ASR领域从自监督学习转向监督学习的潜在转变,这将影响未来的模型开发和研究重点。

排序理由 这是一个关于ASR模型未来方向的Reddit讨论串,而非主要发布或研究论文。

在 r/MachineLearning 阅读 →

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ASR模型通过新架构和海量监督数据取得进展

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这是一个关于ASR模型未来方向的Reddit讨论串,而非主要发布或研究论文。
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报道来源 [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/ComprehensiveTop3297 ·

    语音识别(ASR)的下一个突破将是什么?[D]

    <!-- SC_OFF --><div class="md"><p>Hey All,</p> <p>I am currently working on ASR models, and I have gathered some recent literature. From my literature search, it seems like the ASR models are getting more and more powerful due to two main things.</p> <ol> <li><p>Because pseudo-la…