Hybrid sound event detection method based on factor decomposition of supervised variational encoder

Abstract

The invention discloses a hybrid sound event detection method based on factor decomposition of a supervised variational encoder. The method includes the following steps that a voice signal is receivedand pretreated; the feature of the pretreated voice signal is extracted; a supervised variational automatic encoder is used for extracting potential attribute space of sound events; a factor decomposition method is used for decomposing various factors that make up a hybrid sound, and then the feature representation related to each specific sound event is obtained through studying; a correspondingsound event detector is used for detecting whether the specific sound events occur or not. A factor decomposition learning way is adopted for solving the problem that the detection accuracy of the sound events is not high when there are relatively many sound event categories in the hybrid sound, the accuracy of real-scene sound event detection is effectively improved, and the method can be used for speaker recognition and other tasks.

Description

technical field [0001] The invention relates to the fields of speech signal processing, pattern recognition and the like, in particular to a sound event detection method related to a variational automatic encoder and a factor decomposition method. Background technique [0002] Multi-category sound event detection refers to detecting whether each event occurs from an event mixed with multiple sounds. Compared with the traditional few-category sound event detection, it has wider applicability in the real field, and has broad application prospects and practical significance in medical scene monitoring, traffic scene sound event detection and other fields. [0003] Traditional multi-category sound event detection methods mainly adopt the ideas of speech recognition and template matching, for example, using a mixture of Gaussian models and hidden Markov models characterized by Mel-frequency cepstral coefficients, or using non-negative matrix factorization to Each kind of event i...

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Problems solved by technology

[0004] The present invention provides a factor decomposition method, so that the decomposed features are not disturbed by factors irrelevant to the detection task, and the decomposed features are only for each specific sound event, thereby solving the accuracy rate of multi-category sound event detection in real environments Not high problem, improve the accuracy of detection

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