音乐处理原理Fundamentals of Music Processing（FMP）
Overview
- Music Representations：Music notation; MIDI; audio signal; waveform; pitch; loudness; timbre
- Fourier Analysis of Signals：Discrete/analog signal; sinusoid; exponential; Fourier transform; Fourier representation; DFT; FFT; STFT
- Music Synchronization：Chroma feature; dynamic programming; dynamic time warping (DTW); alignment; user interface
- Music Structure Analysis：Similarity matrix; repetition; thumbnail; homogeneity; novelty; evaluation; precision; recall; F-measure; visualization; scape plot
- Chord Recognition：Harmony; music theory; chords; scales; templates; hidden Markov model (HMM); evaluation
- Tempo and Beat Tracking：Onset; novelty; tempo; tempogram; beat; periodicity; Fourier analysis; autocorrelation
- Content-Based Audio Retrieval：Identification; fingerprint; audio matching; version identification; cover song
- Musically Informed Audio Decomposition：Harmonic/percusive separation; signal reconstruction; instantaneous frequency; fundamental frequency (F0); trajectory; nonnegative matrix factorization (NMF)
Music Representations
- Sheet Music
- Piano roll
- Symbolic Format: CSV,MIDI,MusicXML,Rendering
- Waves and Waveforms
References
本文作者：Rayinfos
本文链接：https://www.cnblogs.com/rayinfos/p/16855488.html
版权声明：本作品采用知识共享署名-非商业性使用-禁止演绎 2.5 中国大陆许可协议进行许可。
【推荐】国内首个AI IDE，深度理解中文开发场景，立即下载体验Trae
【推荐】编程新体验，更懂你的AI，立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包，你的智能百科全书，全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell：AI 加持，快人一步