ADPCM
Speech processing designates a team consisting of Prof. Lawrence Rabiner (Rutgers University and University of California, Santa Barbara), Prof. Ronald Schafer (Stanford University), Kirty Vedula and Siva Yedithi (Rutgers University). This exercise is one of a set of speech processing exercises that are intended to supplement the teaching material in the textbook “Theory and Applications of Digital Speech Processing” by L R Rabiner and R W Schafer.
This MATLAB exercise implements an Adaptive Differential Pulse Code Modulation (ADPCM) coder for waveform coding of speech signals.
Citation pour cette source
Speech Processing (2024). ADPCM (https://www.mathworks.com/matlabcentral/fileexchange/45310-adpcm), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- Signal Processing > Signal Processing Toolbox >
- Signal Processing > Audio Toolbox > Audio I/O and Waveform Generation >
- MATLAB > Data Import and Analysis > Data Import and Export > Standard File Formats > Audio and Video Data > Speech Files >
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Version | Publié le | Notes de version | |
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1.4.0.0 | Minor layout tweak
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1.2.0.0 | code updates; Read_Me.txt setup file; pathnew_matlab_central example |
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1.1.0.0 | Speech files fix added |
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1.0.0.0 |