Speech Recognition Algorithms based Cough Recognition System DOI Open Access

Fatima Barkani,

Mohamed Hamidi, Ouissam Zealouk

et al.

International Journal of Online and Biomedical Engineering (iJOE), Journal Year: 2023, Volume and Issue: 19(12), P. 49 - 61

Published: Aug. 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.

Language: Английский

The Stock Prices Prediction Performance of Hidden Markov Models in the Luxury Category DOI Open Access

Ruijun Yang

Financial Engineering and Risk Management, Journal Year: 2023, Volume and Issue: 6(6)

Published: Jan. 1, 2023

The stock market is the place where issued stocks are transferred, traded and circulated, including exchange over-the-counter market. Because it based on issuance market, also called secondary structure trading activities of more complex than (the primary market), its role influence greater. It precisely because systems processes that achieving accurate predictions very difficult challenging. Hidden Markov Model not a commonly used model in predicting next day's price. Hence, I will focus with four luxury giants to prove whether HMM suitable for industry, which company fitted most.

Language: Английский

Citations

0

Speech Recognition Algorithms based Cough Recognition System DOI Open Access

Fatima Barkani,

Mohamed Hamidi, Ouissam Zealouk

et al.

International Journal of Online and Biomedical Engineering (iJOE), Journal Year: 2023, Volume and Issue: 19(12), P. 49 - 61

Published: Aug. 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.

Language: Английский

Citations

0