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Ji-Chen Yang

2 accepted papers

2017

Mobile phone clustering from acquired speech recordings using deep Gaussian supervector and spectral clustering

ICASSP 2017accepted

Acquisition device clustering from speech recordings is a new and critical problem in the field of speech forensic, which aims at merging speech recordings acquired by the same device into one cluster without both pre-knowing prior information of the processed data and pre-training classifier. We pr…

Cited by 0SourceScholar
2016

Source cell phone matching from speech recordings by sparse representation and KISS metric

ICASSP 2016accepted

Source recording device matching from two speech recordings is a new and important problem of digital media forensics. It aims to answer the question that whether or not two speech recordings are recorded by the same recording device. In this study we propose a source cell phone matching scheme. The…

Cited by 0SourceScholar