# Speaker Gender Recognition Based on Deep Neural Networks and ResNet50

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/speaker-gender-recognition-based-on-deep-neural-networks-and-resnet50/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abeer Ali Alnuaim,Mohammed Zakariah,Chitra Shashidhar,Wesam Atef Hatamleh,Hussam Tarazi,Prashant Kumar Shukla,Rajnish Ratna |
| Citations | 108 |
| DOI | 10.1155/2022/4444388 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://downloads.hindawi.com/journals/wcmc/2022/4444388.pdf |
| OpenAlex ID | https://openalex.org/W4220918305 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Mohammed Zakariah](https://scholariq.org/researchers/mohammed-zakariah/)

## Paper primary topic

- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)

## Paper topics

- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)
- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)
- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.