Oct 26, 2016 · In this paper, we propose a framework for detecting double compressed AMR audio based on the stacked autoencoder (SAE) network and the universal ...

Abstract— The adaptive multi-rate (AMR) audio codec adopted by many portable recording devices is widely used in speech compression. The use of AMR speech ...

In this paper, we propose a framework for detecting double compressed AMR audio based on the stacked autoencoder (SAE) network and the universal background ...

This paper proposes a framework for detecting double compressed AMR audio based on the stacked autoencoder (SAE) network and the universal background ...

In this paper, we propose a framework for detecting double compressed AMR audio based on the stacked autoencoder (SAE) network and the universal background ...

The algorithm in (Shen et al., 2012) is an SVM-based method proposed to detect double compressed AMR audio by extracting a set of spectral features from decoded ...

This paper proposes a method based on deep learning algorithm and a majority voting strategy that is effective to detect the double compressed AMR audio and ...

Mar 6, 2015 · In [13] , a framework is proposed to detect double compressed AMR audio based on the Stacked Autoencoder (SAE) network and the Universal ...

Keywords: Adaptive Multi-Rate, Double Compressed Audio, Stacked Autoencoder, UBM-GMM, SVM Classifier, Bayesian ... AMR audio with ... [1] Detection of Double ...

DETECTING DOUBLE COMPRESSED AMR AUDIO USING DEEP LEARNING. Da Luo ... A stacked autoencoder is a neu- ral network consisting of multiple layers of autoencoders in.