# An Efficient Deep Learning framework with CNN and RBM for Native Speech to Text Translation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-efficient-deep-learning-framework-with-cnn-and-rbm-for-native-speech-to-text/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Neelima,Kalyankumar Dasari,A. Lakshmanarao,Peluru Janardhana Rao,Madhan Kumar Jetty |
| Citations | 3 |
| DOI | 10.1109/iconat61936.2024.10774815 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4406263843 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [S. Neelima](https://scholariq.org/researchers/s-neelima/)

## Paper primary topic

- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)

## Paper topics

- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [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.