Langify

May 2023
Vol-9, Issue-3
Paper ID: 20436
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science and Engineering
Keywords
Audio Extraction Speech Recognition Audio Transcription Text Translation Audio Generation Audio Streaming Web-based User Interface Multiple Languages
Abstract
The design and implementation of speech-to-text and text-to-speech systems to cater for language inefficiency has been seen to be highly encouraging in recent times. This enables us to incorporate speech technologies to our data, independent of the platform. Over the past few decades, people have tended to connect themselves to audio elements more than written contents. The use of different speech recognition technologies paves way for advanced developments in society. In this project, a web-based platform is presented where a voice recognition module builds into the platform to perform the speech recognition task for a specified video and thereafter, allowing the translation of the transcript text in multiple languages. The whole process is integrated using Python modules. This would help to overcome the existing language barrier and would also bridge the gap between different communities. It aims to develop a cost-effective service of providing audio information for a larger crowd in their preferred languages.

Author Information

# Name Institute / Affiliation
1 Dona Davis IES College of Engineering
2 Ms. Hrudya K P IES College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Davis, Dona & P, Ms. Hrudya K (2023). Langify. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 2331-2333.
MLA Style
Davis, Dona, and Ms. Hrudya K P. "Langify." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 2331-2333.
IEEE Style
Dona Davis and Ms. Hrudya K P, "Langify," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 2331-2333, 2023.
Vancouver Style
Davis Dona, P Ms. Hrudya K. Langify. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):2331-2333.
Harvard Style
Davis, Dona & P, Ms. Hrudya K (2023) 'Langify', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 2331-2333.
Chicago Style
Davis, Dona and Ms. Hrudya K P. "Langify." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 2331-2333.
Turabian Style
Davis, Dona and Ms. Hrudya K P. "Langify." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 2331-2333.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable