Audio Feature Extraction and Pattern Recognition

Audio Feature Extraction and Pattern Recognition Introduction Extracting, recognizing, and categorizing features of audio signals (such as genre, tempo, timbre, or mood) are processes that humans perform almost subconsciously. However, audio feature recognition and categorization is largely experience-based. Therefore, the digital implementation of these processes has been largely subjective, but has recently gained momentum due to the growing availability of powerful yet adaptive Digital Signal Processing (DSP) software packages. This paper focuses on the audio feature extraction and pattern recognition aspects of DSP, discusses some important commercial applications of this technology, and identifies some algorithms and software packages that are used to analyze audio data.