Speech Recognition for English Sentences with Malay Accent
Abstract
Some countries conduct speech research using accents. One language that has a different accent is English. English is an international language that is often used to communicate with citizens of other countries. For beginner, many difficulty to translate English with accent, include malay accent. This study performs speech recognition using English and Riau Malay accents. This research use Google Recognizer to cut words in sentences, Mel Frequency Cepstral Coefficient for feature extraction, and Hidden Markov Model for classification. The accuracy of this research is 94.02%.
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References
A. S. M. BA WAZIR and J. H. CHUAH, "Spoken Arabic Digits Recognition Using Deep Learning," in 2019 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2019), Selangor, Malaysia, 2019.
M. H. Tambunan, Martin, H. Fakhruroja, Riyanto and C. Machbub, "Indonesian Speech Recognition Grammar Using Kinect 2.0 for Controlling Humanoid Robot," in The 2018 International Conference on Signals and Systems (ICSigSys), Bali, Indonesia, 2018.
S. Duduka, H. Jain, V. Jain, H. Prabhu and P. P. M. Chawan, "Accent Classification using Machine Learning," in International Research Journal of Engineering and Technology (IRJET), 2020.
A. Ahmed, P. Tangri, A. Panda, D. Ramani and S. Karmakar, "VFNet: A Convolutional Architecture for Accent Classification," in 2019 IEEE 16th India Council International Conference (INDICON), 2019.
L. M. A. Sheng and M. W. X. Edmund, "Deep Learning Approach to Accent Classification," in stanford.edu, 2017.
K. Nugroho, "Javanese Gender Speech Recognition Based on Machine Learning Using Random Forest and Neural Network," SISFORMA: Journal of Information Systems (e-Journal), vol. 6, 2019.
J. A. Zea and J. Aguiar, "“Spanish Políglota”: an automatic Speech Recognition system based on HMM," in 2021 Second International Conference on Information Systems and Software Technologies (ICI2ST), Quito, Ecuador, 2021.
J. Choi, H. Gill, S. Ou, Y. Song and J. Lee, "Design of voice to text conversion and management program based on Google Cloud Speech API," in 2018 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2018.
A. Winursito, R. Hidayat and A. Bejo, "Improvement of MFCC Feature Extraction Accuracy Using PCA in Indonesian Speech Recognition," in 2018 International Conference on Information and Communications Technology (ICOIACT), Yogyakarta, Indonesia, 2018.
A. Winursito, R. Hidayat and A. Bejo, "Improvement of MFCC Feature Extraction Accuracy Using PCA in Indonesian Speech Recognition," in 2018 International Conference on Information and Communications Technology (ICOIACT), Yogyakarta, Indonesia, 2018.
R. Hidayat, A. Bejo, S. Sumaryono and A. Winursito, "Denoising Speech for MFCC Feature Extraction Using Wavelet Transformation in Speech Recognition System," in 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE), Bali, Indonesia, 2018.
C. Jeyalakshmi, B. Murugeshwari and M. Karthick, "HMM and K-NN based Automatic Musical Instrument Recognition," in 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), Palladam, India, 2018.
N. Song and H. Yang, "A Gesture-to-Emotional Speech Conversion by Combining Gesture Recognition and Facial Expression Recognition," in 2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), Beijing, China, 2018.
W. Ting, "An Acoustic Recognition Model for English Speech Based on Improved HMM Algorithm," in 2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), Qiqihar, China, 2019.
V. Gupta, R. S. Shankar and H. D. Kotha, "Voice Identification in Python Using Hidden Markov Model," International Journal of Advanced Science and Technology, vol. Vol. 29, 2020.
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