深度音频分析器：一个将音频取证研究工业化的框架
Deep Audio Analyzer: a Framework to Industrialize the Research on Audio Forensics
AI总结：
本文提出开源框架Deep Audio Analyzer，通过图形界面组合深度神经网络模型，简化音频取证流水线的创建、评估与分享，加速研究并提升可复现性。
摘要：
深度音频分析器（Deep Audio Analyzer）是一个开源语音框架，旨在简化神经语音处理流水线的研究与开发过程，使用户能够以快速且可复现的方式构思、比较和分享结果。本文描述了该框架的核心架构，该架构旨在支持音频取证领域中多个共同关注的任务，并展示了创建新任务从而定制框架的可能性。借助深度音频分析器，取证检验人员（例如来自执法机构的人员）和研究人员将能够可视化音频特征，轻松评估预训练模型的性能，并通过几次点击组合深度神经网络模型来创建、导出和分享新的音频分析工作流。该工具的优势之一是加快音频取证分析领域的研究和实际实验，同时通过导出和分享流水线来提高实验的可复现性。所有功能均以模块形式开发，用户可通过图形用户界面访问这些模块。索引术语：语音处理、深度学习音频、深度学习音频流水线创建、音频取证。
英文摘要：
Deep Audio Analyzer is an open source speech framework that aims to simplify the research and the development process of neural speech processing pipelines, allowing users to conceive, compare and share results in a fast and reproducible way. This paper describes the core architecture designed to support several tasks of common interest in the audio forensics field, showing possibility of creating new tasks thus customizing the framework. By means of Deep Audio Analyzer, forensics examiners (i.e. from Law Enforcement Agencies) and researchers will be able to visualize audio features, easily evaluate performances on pretrained models, to create, export and share new audio analysis workflows by combining deep neural network models with few clicks. One of the advantages of this tool is to speed up research and practical experimentation, in the field of audio forensics analysis thus also improving experimental reproducibility by exporting and sharing pipelines. All features are developed in modules accessible by the user through a Graphic User Interface. Index Terms: Speech Processing, Deep Learning Audio, Deep Learning Audio Pipeline creation, Audio Forensics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
