  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.
