Audio frequency feature library establishing method and device
A technology of audio features and establishment methods, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of reducing the performance of music recognition system and increasing the difficulty of matching, so as to alleviate the mismatch phenomenon, offset channel distortion, and improve accuracy. rate effect
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[0057]In order to realize the search of audio content, it is necessary to use a large-scale music library for training and establish an audio feature library, such as the existing CMI feature training technology, which mainly includes four steps:
[0058] 1) Audio feature extraction. For each audio file in the music library, features such as music melody and rhythm are extracted frame by frame;
[0059] 2) Audio segmentation, looking for the mutation points of the audio signal, using these mutation points to divide the training data into several audio segments (Segments), and extracting a feature vector from each Segment;
[0060] 3) Feature clustering, through a specific clustering algorithm, the features of each segment are clustered, and the most representative K-type features of a piece of music are extracted while reducing the number of features, K is the number of clusters;
[0061] 4) Index establishment, to establish an index table, such as a hash table, for the featur...
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