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English(EN) WhisperPipe: A Resource-Efficient Streaming Architecture for Real-Time Automatic Speech Recognition

WhisperPipe架构为实时应用大幅降低了ASR延迟和内存使用

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了WhisperPipe，这是一种旨在提高实时自动语音识别（ASR）性能的新流式架构。该架构解决了像Whisper这样的大型Transformer模型在准确性和计算效率之间的权衡问题。WhisperPipe通过在语音活动检测、动态缓冲和自适应处理方面的创新，实现了有限的内存消耗和更低的延迟。 AI

影响 使得在资源受限的环境中更高效地部署先进的ASR模型成为可能。

排序理由 详细介绍实时ASR新架构的学术论文。

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

WhisperPipe架构为实时应用大幅降低了ASR延迟和内存使用

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详细介绍实时ASR新架构的学术论文。
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Erfan Ramezani, Mohammad Mahdi Giahi, Mohammad Erfan Zarabadipour, Amir Reza Yosefian, Hamid Ghadiri ·

    WhisperPipe：一种资源高效的实时自动语音识别流式架构

    arXiv:2604.25611v1 Announce Type: new Abstract: Real-time automatic speech recognition (ASR) systems face a fundamental trade-off between transcription accuracy and computational efficiency, particularly when deploying large-scale transformer models like Whisper. Existing streami…

  2. arXiv cs.CL TIER_1 English(EN) · Hamid Ghadiri ·

    WhisperPipe：一种资源高效的实时自动语音识别流式架构

    Real-time automatic speech recognition (ASR) systems face a fundamental trade-off between transcription accuracy and computational efficiency, particularly when deploying large-scale transformer models like Whisper. Existing streaming approaches either sacrifice accuracy through …

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