RNN-based signal classification for hybrid audio data compression

Tu, Weiping; Yang, Yuhong; Du, Bo; Yang, Wanzhao; Zhang, Xiong; Zheng, Jiaxi

doi:10.1007/s00607-019-00713-8

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Cited by 6 publications

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“…Compression Factor [6] Yes Yes Yes [24] Yes [7] Yes Yes [5] Yes Yes Yes [25] Yes [26] Yes [27] Yes [28] Yes [29] Yes Yes Yes [30] Yes Yes Yes Yes Yes [31] Yes Yes Yes Yes Yes [32] Yes [33] Yes Yes [34] Yes Yes [35] Yes [36] Yes [37] Yes [38] Yes…”

Section: Decompression Timementioning

confidence: 99%

Survey On Parameters of Data Compression

Nithya

Vengattaraman

Sathya

2023

jdaai

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The rapid development in the hardware and the software gives rise to data growth. This data growth has numerous impacts, including the need for a larger storage capacity for storing and transmitting. Data compression is needed in today’s world because it helps to minimize the amount of storage space required to store and transmit data. Performance measures in data compression are used to evaluate the efficiency and effectiveness of data compression algorithms. In recent times, numerous data compression algorithms are developed to reduce data storage and increase transmission speed in this internet era. In order to analyses how data compression performance is measured in terms of text, image, audio, and video compressions. This survey presents discussion made for important data compression parameters according to their data types.

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