Open Access Open Access  Restricted Access Subscription or Fee Access

Artificial intelligence and its uses in speech recognition

Dhruv Bana

Abstract


Innovative technologies utilising artificial intelligence have transformed the way we live. Every sector of society has been significantly impacted by AI, which has swept through every industry. The term "artificial intelligence" was first used at a symposium in 1956. The conference's discussion on multidisciplinary information technology and natural language production. Technology advanced enormously as a result of the development of the internet. Thirty years ago, artificial intelligence technology was a stand-alone technology, but today its uses are pervasive in all walks of life. Replicating human intelligence in computers is referred to as artificial intelligence, or AL for short. There are many uses for artificial intelligence, but speech recognition is one of the key ones. One such device that utilises AI to make its users' lives easier is speech recognition. This innovative technology offers the capacity to convert voice messages to text. Additionally, it has the capacity to identify a specific person based on their voice command.


Keywords


Keywords: Artificial intelligence, Astronomy, Speech recognition, Natural language processing, spectrograms

Full Text:

PDF

References


References:

Alex Graves, Santiago Fernandez, Faustino Gomez, and Jürgen Schmidhuber (2006). Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural nets. Proceedings of ICML'06, pp. 369–376.

Coqui, a startup providing open speech tech for everyone". GitHub. Retrieved 7 March 2022.

History of Speech Recognition". Dragon Medical Transcription. Archived from the original on 13 August 2015. Retrieved 17 January 2015.

Mohri, M. (2002). "Edit-Distance of Weighted Automata: General Definitions and Algorithms" (PDF). International Journal of Foundations of Computer Science. 14 (6): 957–982.

Overcoming Communication Barriers in the Classroom". MassMATCH. 18 March 2010. Archived from the original on 25 July 2013. Retrieved 15 June 2013.

John R. Pierce (1969). "Whither speech recognition?". Journal of the Acoustical Society of America. 46 (48): 1049–1051. Bibcode:1969ASAJ...46.1049P. doi:10.1121/1.1911801.

Benesty, Jacob; Sondhi, M. M.; Huang, Yiteng (2008). Springer Handbook of Speech Processing. Springer Science & Business Media. ISBN 978-3540491255.

Follensbee, Bob; McCloskey-Dale, Susan (2000). "Speech recognition in schools: An update from the field". Technology And Persons With Disabilities Conference 2000. Archived from the original on 21 August 2006. Retrieved 26 March 2014

Garrett, Jennifer Tumlin; et al. (2011). "Using Speech Recognition Software to Increase Writing Fluency for Individuals with Physical Disabilities". Journal of Special Education Technology. 26 (1): 25–41.

Zheng, Thomas Fang; Li, Lantian (2017). Robustness-Related Issues in Speaker Recognition. SpringerBriefs in Electrical and Computer Engineering. Singapore: Springer Singapore. doi:10.1007/978-981-10-3238-7. ISBN 978-981-10-3237-0.




DOI: https://doi.org/10.37591/joma.v9i2.6662

Refbacks

  • There are currently no refbacks.