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Long-Term Multi-Band Frequency-Domain Mean-Crossing Rate (FDMCR) Feature
- Citation Author(s):
- Submitted by:
- mohammad rasoul...
- Last updated:
- Wed, 10/16/2024 - 08:34
- DOI:
- 10.21227/H2NW6G
- Data Format:
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- License:
- Creative Commons Attribution
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Abstract
In order to discriminate and mark audio signal segments which include normal human speech and discriminate segments which do not include speech (like silence, music and noise), Speech/Music Discrimination (SMD) systems are used. Using this definition, SMD systems can be considered as a specific or accurate type of speech activity detection system. Here, a new, effective and robust feature in SMD systems is introduced as “Long-Term Multi-Band Frequency-Domain Mean-Crossing Rate (FDMCR)” where high accuracy, low error and further discrimination can be mentioned as its advantages.
Instructions:
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Dataset Files
- Kahrizi-2023-FDMCR-CSSP.zip (1.19 MB)
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