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WhisperPipe architecture slashes ASR latency and memory use for real-time applications

作者 PulseAugur 编辑部 · [2 个来源] ·

Researchers have developed WhisperPipe, a new streaming architecture designed to improve real-time automatic speech recognition (ASR) performance. This architecture addresses the trade-off between accuracy and computational efficiency in large transformer models like Whisper. WhisperPipe achieves bounded memory consumption and reduced latency through innovations in voice activity detection, dynamic buffering, and adaptive processing. AI

影响 Enables more efficient deployment of advanced ASR models in resource-constrained environments.

排序理由 Academic paper detailing a new architecture for real-time ASR.

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 architecture slashes ASR latency and memory use for real-time applications

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: A Resource-Efficient Streaming Architecture for Real-Time Automatic Speech Recognition

    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: A Resource-Efficient Streaming Architecture for Real-Time Automatic Speech Recognition

    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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