NDLTD Global ETD Search
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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Showing 1 to 2 of 2 (0.102 seconds)

Spelling suggestions: "subject:"acoustic scene classification"" "subject:"acoustic scene 1classification""

1

Multiple Drone Detection and Acoustic Scene Classification with Deep Learning

Vemula, Hari Charan January 2018 (has links)
No description available.
Computer Science
Multiple Drone Detection
Acoustic Scene Classification
CASA
Raw audio waveforms
Sample-level CNN
openSMILE
2

Detekce Akustického Prostředí z Řeči / Acoustic Scene Classification from Speech

Dobrotka, Matúš January 2018 (has links)
The topic of this thesis is an audio recording classification with 15 different acoustic scene classes that represent common scenes and places where people are situated on a regular basis. The thesis describes 2 approaches based on GMM and i-vectors and a fusion of the both approaches. The score of the best GMM system which was evaluated on the evaluation dataset of the DCASE Challenge is 60.4%. The best i-vector system's score is 68.4%. The fusion of the GMM system and the best i-vector system achieves score of 69.3%, which would lead to the 20th place in the all systems ranking of the DCASE 2017 Challenge (among 98 submitted systems from all over the world).

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