Article detail · 2019 · article
An effective gender recognition approach using voice data via deeper LSTM networks
Journal
Applied Acoustics
ISSN0003-682X
YÖKSİS
OpenAlex
Top 10%
Year2019
Citations89OpenAlex
Citations82Semantic Scholar · 5 influential
Percentile%98.0
FWCI8.961.00 = world average
Scopus (SJR)Q1
Data source split
- YÖKSİSYÖKSİS article record
- YÖKSİS venueApplied Acoustics
- Catalog match (ISSN)Applied Acoustics
- OpenAlexOpenAlex enrichment (abstract, citations, topics)
- Semantic Scholarcitation count (not merged with OpenAlex)
Abstract
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Topics
Citations
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89citationsOpenAlex · cited_by_count (cache / database)
21 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
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- 2023 Proposing a new approach based on convolutional neural networks and random forest for the diagnosis of Parkinson's disease from speech signalsCitations 39 · OpenAlex
- 2022 A comprehensive Turkish accent/dialect recognition system using acoustic perceptual formantsCitations 18 · OpenAlex
- 2020 Automated ambient recognition method based on dynamic center mirror local binary pattern: DCMLBPCitations 16 · OpenAlex
- 2020 Automated ambient recognition method based on dynamic center mirror local binary pattern: DCMLBPCitations 16 · OpenAlex
- 2019 Automated ambient recognition method based on dynamic center mirror local binary pattern: DCMLBPCitations 16 · OpenAlex
- 2024 Speaker age and gender recognition using 1D and 2D convolutional neural networksCitations 11 · OpenAlex
- 2022 Speech-to-Gender Recognition Based on Machine Learning AlgorithmsCitations 8 · OpenAlex
- 2020 Gender Determination Using Voice DataCitations 8 · OpenAlex
- 2020 Gender Determination Using Voice DataCitations 8 · OpenAlex