Speech Recognition Using Machine Learning Algorithms
The goals of speech recognition technology are defined. Machine learning algorithms used for speech recognition. Speech recognition is the process of converting spoken speech into text that allows machines to transcribe human speech. Speech recognition research covers a wide range of subject areas, including computer technology, artificial, intelligence, digital, signal, processing, pattern recognition, acoustics, linguistics, and cognitive science. Our speech consists of many frequencies at the same time. The study trained and tested these two models in speech recognition using Hidden Markov Models (HMMs) and Gaussian Mixture Models (GMMs). During the experiment, Hidden Markov Models (HMMs) showed good results.
Authors
- Nurbapa Mekebayev (ORCID: https://orcid.org/0000-0002-9117-4369)
- Arshyn Altybay (ORCID: https://orcid.org/0000-0003-4939-8876)
- Dauren Darkenbayev (ORCID: https://orcid.org/0000-0002-6491-8043)
Publication Details
- Journal
- Trudy Universiteta
- Published
- 2024-12-24
- DOI
- https://doi.org/10.52209/1609-1825_2024_4_448
- Primary Topic
- Speech Recognition and Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00