International Journal of Online and Biomedical Engineering (iJOE), Год журнала: 2023, Номер 19(12), С. 49 - 61
Опубликована: Авг. 31, 2023
This paper introduces an innovative technique for creating a cough detection system that relies on speech recognition algorithms. The strategy utilizes the Kaldi platform, which is open source and incorporates hybrid of Gaussian Mixture Model-based Hidden Markov Models (GMM-HMM) through straightforward monophone training model. Additionally, study examines effectiveness two different feature extraction approaches, Mel Frequency Cepstral Coefficient (MFCC) Perceptual Linear Prediction (PLP). proposed can function as collection tool gathering natural spontaneous data from conversations or continuous speech. also compares CMU Sphinx4 toolkits, concluding Kaldi’s use GMM-HMM outperforms Sphinx4.
Язык: Английский