Multi-channel audio compression and decompression method and system

Abstract

The embodiment of the invention provides a multi-channel audio compression and decompression method. The method comprise the steps of receiving a multi-channel audio file, determining the audio frequency, the number of channels, and the arrangement sequence of each channel of the multi-channel audio file; splitting the multi-channel audio file according to the number of channels, carrying out framing on the split audio channel audio according to the audio frequency, and inputting the split audio file into a speex compression engine for compression to obtain an ogg compressed packet of each channel of audio separately; and alternately storing the ogg compressed packet of each channel of audio according to the arrangement sequence of each channel to generate the compressed file of the multi-channel audio. The embodiment of the invention also provides a multi-channel audio compression and decompression system. According to the embodiments of the invention, in the compression process, alternate storage is performed according to the sequence of the channels, preparation is carried out for the decoding process, and the multi-channel parallel decoding can be carried out during decoding, so that the delay in the multi-channel audio transmission is reduced, and the problem of delay caused by demand and transmission data on the network bandwidth by the Internet of Things equipment is reduced.

Description

Technical field [0001] The invention relates to the field of cloud multi-channel speech recognition, in particular to a method and system for compressing and decompressing multi-channel audio. Background technique [0002] In order to meet the current multi-channel identification requirements, audio compression and decompression technologies are usually used to reduce the network bandwidth requirements of IoT devices and the delay caused by data transmission. [0003] In the process of implementing the present invention, the inventor found at least the following problems in the related technology: [0004] Ordinary compression is not suitable for audio decoding with high real-time requirements due to the large delay and poor compression. [0005] The disadvantage of Opus multi-channel encoding and decoding is that it resamples non-48k audio into 48k audio for encoding and decoding, so that both re-sampling during encoding and decoding, audio distortion may lead to degradation of recog...

AI Technical Summary

Problems solved by technology

[0007] In order to at least solve the problem of poor compression and low efficiency in the transmission of multi-channel audio in the prior art, resulting in large transmission dela

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