The invention belongs to the technical field of information retrieval, and particularly relates to a music retrieval system based on audio fingerprint features. The system is composed of a preprocessing module, a feature extraction module, a reverse index module and a fine matching module. The preprocessing module mainly carries out audio signal conversion, resampling and filtering; the feature extraction module is used for representing audio files, wherein the audio fingerprint features are adopted to select the most stable point from a frequency spectrum as the feature point through twice screening based on dynamic threshold values, and each feature is represented by a dot pair; according to the reverse index module, the features are used as key words, reverse indexes are built according to the features of a song library, and the index result is returned according to the number of the same key words; according to the fine matching module, the sequential relationship of the audio features is combined, an improved editing distance is adopted as the similarity of two feature sequences, and therefore the index result is optimized. The music retrieval system based on the audio fingerprint features is suitable for the retrieval of a large number of songs, and can particularly conduct effective retrieval on record inquiry segments.