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Published January 4, 2018 | Version v1
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Estimation of the road traffic sound levels based on Non-Negative Matrix Factorization dataset

Authors/Creators

  • 1. LAE, Ifsttar
  • 2. LS2N

Description

Sound database to compute the NonnegMatrixFact experience (download here: https://github.com/jean-remyGloaguen/article2017EstimationAmbiance) dedicated to the estimation of the traffic sound level on urban sound mixtures.

This sound database includes two subfolders: ambiance and dictionary

- ambiance folder includes 6  sub-corpus (alert, animals, climate, human, mechanics and transportation). In each sub-corpus, 50 sound mixtures are available and divided into two files: one dedicated to the traffic signal, the other to the interfering signal.

- dictionary folder includes the isolated sounds dedicated to the dictionary learning for NMF

Files

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The record is publicly accessible, but files are restricted to users with access.