Aiming at improving the retrieval efficiency of unknown music clip in the massive music library, a fast and robust music filtering fingerprint is proposed. By bringing the bag-of-features algorithm to the classical Philips audio fingerprint, a filtering fingerprint is generated with the fingerprint data reduced multiply to narrow the scope of retrieval quickly and sharply, thus the retrieval efficiency is greatly increased. Experiments show that retrieving a 10 seconds audio clip with filtering fingerprint, the average filtering time is only 1/7328 of the traditional sequence retrieval time, but the filtering range is above 99.67%. After applying MP3 conversion, resampling and random shearing, the recall rate is still over 99.47%, and the theoretical accuracy is nearly 100%.