Streaming Speech-to-Text Translation (StreamST) requires producing translations concurrently with incoming speech, imposing strict latency constraints and demanding models that balance partial-information decision-making with high translation quality. Research efforts on the topic have so far relied on the SimulEval repository, which is no longer maintained and does not support systems that revise their outputs. In addition, it has been designed for simulating the processing of short segments, rather than long-form audio streams, and it does not provide an easy method to showcase systems in a demo. As a solution, we introduce simulstream, the first open-source framework dedicated to unified evaluation and demonstration of StreamST systems. Designed for long-form speech processing, it supports not only incremental decoding approaches, but also re-translation methods, enabling for their comparison within the same framework both in terms of quality and latency. In addition, it also offers an interactive web interface to demo any system built within the tool.
Simulstream：用于流式语音到文本翻译系统评估与演示的开源工具包 / Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems
这篇论文介绍了一个名为Simulstream的开源工具包，它解决了现有工具在评估和演示流式语音翻译系统时的不足，能够统一支持多种翻译策略（包括边听边译和修订重译）的评测，并提供交互式演示界面，特别适合处理长音频。
源自 arXiv: 2512.17648
