# Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/long-short-term-memory-recurrent-neural-network-for-automatic-speech-recognition/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jane Oruh,Serestina Viriri,Adekanmi Adeyinka Adegun |
| Citations | 190 |
| DOI | 10.1109/access.2022.3159339 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/9668973/09733937.pdf |
| OpenAlex ID | https://openalex.org/W4226023758 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Serestina Viriri](https://scholariq.org/researchers/serestina-viriri/)
- [Adekanmi Adeyinka Adegun](https://scholariq.org/researchers/adekanmi-adeyinka-adegun/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)

## Paper topics

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

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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.