forensic-audio-analysis

MLSP - 2017

Proposed Architecture Diagram: https://docs.google.com/drawings/d/1c0PNWLe1WDuelASDI7pf3m7id8mFdJdTljMAqomyce4/edit

Google Drive (Required Admin Authentication!): https://drive.google.com/drive/folders/0B5xJpDEaUI6ERkhUaHhPUWZjVW8?usp=sharing

Google Doc Links for starter: https://docs.google.com/a/andrew.cmu.edu/document/d/1xzixTQnTPhj9eEpW_9YaXcUw-ufbRzpuRCRHYv2EY44/edit?usp=sharing

Proposal: https://www.overleaf.com/11459827wdctdbkcjnwn

Schedule: https://drive.google.com/open?id=1xILBdSiyfB76sh3IVX_qI17pojxO9gtgx_TMoxzkcRs

Meeting Notes: https://drive.google.com/open?id=1Hn2kCItg8-sQLdB4ZIUzKXPoGVn6srzyBlqV1TLuZEk

This repository includes an implementation of the following paper:

• Anurag Kumar, Maksim Khadkevich: “Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes”, 2017; [http://arxiv.org/abs/1711.01369 arXiv:1711.01369].