Edge Speech Recognition
Edge Speech Recognition is a specialized framework within edge artificial intelligence that enables on-device processing and interpretation of spoken language by leveraging localized computational resources to minimize latency, ensure privacy, and reduce reliance on cloud-based infrastructure.
13
Publications
520
Citations
55
Authors
11
Institutions
Publications per year
2017–2026
12
Parents
13
THCHS-30 : A Free Chinese Speech Corpus
Dong Wang, Xuewei Zhang · arXiv (Cornell University) · 2015 · 191 citations · Full text
Optimizing Speech Recognition For The Edge
Yuan Shangguan, Jian Li, Qiao Liang et al. · arXiv (Cornell University) · 2019 · 58 citations · Full text
1–5 of 13
55
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1–5 of 55
11
Tencent (China)
Shenzhen, China
1 h-index
3 publications
84 citations
Menlo School
Atherton, United States
1 h-index
2 publications
48 citations
Meta (United States)
Menlo Park, United States
1 h-index
2 publications
48 citations

University of Montenegro
Podgorica, Montenegro
1 h-index
1 publications
13 citations

University of Maribor
Maribor, Slovenia
1 h-index
3 publications
39 citations
Institut National de Police Scientifique
Lyon, France
1 h-index
12 publications
252 citations
German University in Cairo
Cairo, Egypt
1 h-index
1 publications
12 citations

North South University
Dhaka, Bangladesh
1 h-index
6 publications
342 citations
1–8 of 11
Repository · 5 publications · 337 citations
5
h-index
1 publications · 24 citations
1
h-index
ISWA · 1 publications · 57 citations
1
h-index
1 publications · 12 citations
1 publications · 30 citations
1–5