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.
Citar como
Speech Processing (2024). ADPCM (https://www.mathworks.com/matlabcentral/fileexchange/45310-adpcm), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- 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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