Automatic Speech Recognition: Systematic Literature Review
نویسندگان
چکیده
A huge amount of research has been done in the field speech signal processing recent years. In particular, there increasing interest automatic recognition (ASR) technology field. ASR began with simple systems that responded to a limited number sounds and evolved into sophisticated respond fluently natural language. This systematic review is provided help other researchers most significant topics published last six will also identifying major challenges real-world environments. addition, it discusses current gaps ASR. covers articles available five databases were completed according preferred reporting items for reviews meta-analyses (PRISMA) protocol. The search strategy yielded 45 related study’s scope period 2015–2020. results presented this shed light on trends area suggest new directions.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3112535