AAC encoding detection and bitrate estimation using a convolutional neural network

Autor:	Luca Cuccovillo, Patrick Aichroth, Daniel Seichter
Rok vydání:	2016
Předmět:	Computer science Encoding (memory) Speech recognition 0202 electrical engineering electronic engineering information engineering 020207 software engineering 020201 artificial intelligence & image processing 02 engineering and technology Convolutional neural network
Zdroj:	ICASSP
Popis:	In this paper, we propose a new method for AAC encoding detection and bitrate estimation from PCM material. The algorithm is based on a Convolutional Neural Network that can distinguish between eight different bitrates. It achieves an average accuracy of 94.65% by analysis of only 116.10 ms of content.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f4e2fcd471724525b11734f11841bae8 https://doi.org/10.1109/icassp.2016.7472041 Zobrazit plný text záznamu