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In this paper, we present a new approach for detecting traces of PCM A-law and PCM µ-law encoding within 16-bit PCM content. For both codecs, no previous detection approaches have been developed, despite the fact that they are often applied for land-line phone calls. An evaluation of our method has been carried out using the publicly available Librispeech ASR Corpus as a basis. The detection of both codecs, using analysis windows of 0.1s, is highly reliable even if automatic dithering noise is present, with an Equal Error Rate (EER) of 0% for PCM A-law and 1.05% for PCM µ-law.
Author (s): Cuccovillo, Luca; Aichroth, Patrick
Affiliation:
Fraunhofer Institute for Digital Media Technology
(See document for exact affiliation information.)
Publication Date:
2019-06-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=20472
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Cuccovillo, Luca; Aichroth, Patrick; 2019; Inverse Decoding of PCM A-law and µ-law [PDF]; Fraunhofer Institute for Digital Media Technology; Paper 21; Available from: https://aes2.org/publications/elibrary-page/?id=20472
Cuccovillo, Luca; Aichroth, Patrick; Inverse Decoding of PCM A-law and µ-law [PDF]; Fraunhofer Institute for Digital Media Technology; Paper 21; 2019 Available: https://aes2.org/publications/elibrary-page/?id=20472