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m4aread - read MPEG4 (AAC or M4A) compressed audio files

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m4aread - read MPEG4 (AAC or M4A) compressed audio files

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17 Sep 2010 (Updated )

m4aread reads m4a or aac compressed audio files just like wavread reads uncompressed audio files

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Description

m4aread provides a drop-in replacement for wavread when the audio files are compressed using MPEG4 audio (AAC or M4A) format. (Protected m4p files cannot be decoded, unfortunately.)

All the work is done by the external "faad" binary, an open-source AAC decoder available for multiple platforms. Matlab File Exchange precludes posting binaries, but binaries for MACI64, GLNXA64, and Windows, can be downloaded from http://www.ee.columbia.edu/~dpwe/resources/matlab/m4aread/ .

faad can extract the audio from an mp4 format video, so you can also read these files directly with m4aread.

This is based on my mp3read code.

Acknowledgements

This file inspired Audioread Unified Audio File Input Function.

MATLAB release MATLAB 7.10 (R2010a)
Other requirements Relies on external faad binary. Examples for windows, 64 bit linux and mac are available at the link above, but may not work unless properly installed for your platform.
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Comments and Ratings (2)
25 Sep 2013 Mario

by the way Nezaket, the author was kind enough to upload the files you need at his site:
http://www.ee.columbia.edu/~dpwe/resources/matlab/m4aread/

06 Dec 2012 Nezaket

Hello
could you please tell me what faad.exe file is for and where can i find it? the code does not work because of absence of faad.exe. i am very new to that subject.

Updates
18 Sep 2010

No change to files, but noted in description that it can also pull audio directly from mp4 movie files.

12 Oct 2010

m4aread has been extended to support the FORCEMONO and DOWNSAMPLE flags exactly as defined for the parallel function mp3read.m.

13 Oct 2010

The code is updated to support the FORCEMONO and DOWNSAMPLE options that were introduced in mp3read.

I removed the previously-included binaries to comply with MFE policy.

09 Sep 2011

Added support for reading excerpts from very large files without excessive memory usage.

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