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New SDK enables streaming speech enhancement on diverse platforms

Researchers have introduced GigaEdge Spench, an open-source SDK designed for streaming speech enhancement across various platforms including servers, mobile devices, and web browsers. The SDK allows applications to construct enhancement pipelines using neural denoising, normalization, sample-rate conversion, and echo cancellation modules. It supports both 8 kHz INT8 denoisers and 48 kHz FP32 models, with a C++ core enabling integration with ONNX Runtime and TensorFlow Lite, as well as native support for Android, iOS, and WebAssembly. AI

IMPACT This SDK could streamline the deployment of advanced speech enhancement models across a wide range of devices and applications.

RANK_REASON The cluster describes a new software development kit (SDK) for speech enhancement, detailed in an arXiv paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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

New SDK enables streaming speech enhancement on diverse platforms

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37 / 100
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Tool
The cluster describes a new software development kit (SDK) for speech enhancement, detailed in an arXiv paper. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Artem Sokolov, Artem Khaidarov, Yana Lysova, Alexander Gladkikh, Vitaliy Yulis ·

    GigaEdge Spench: An SDK for Practical Streaming Speech Enhancement

    arXiv:2611.13243v1 Announce Type: new Abstract: We present GigaEdge Spench, an open-source SDK for streaming speech enhancement on CPU servers, mobile devices, and in browsers. Applications can build enhancement channels from neural denoising, normalization and dynamics blocks, s…