Jan 20, 2021 · This review article majorly discusses the feature extraction techniques and machine learning classifiers employed in speech processing and recognition ...
This review article majorly discusses the feature extraction techniques and machine learning classifiers employed in speech processing and recognition ...
The performance of several machine learning techniques is validated for speech emotion recognition application on Berlin EmoDB database and the broad ...
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This review paper provides a comprehensive overview of the key deep learning models and their applications in speech-processing tasks.
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Apr 16, 2023 · Our aim is to provide a concise summary of speech-centric ML tasks, commonly used speech datasets, and speech modeling approaches. 2.1 Speech- ...
A Review of Deep Learning Techniques for Speech Processing
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Apr 30, 2023 · We categorize the approaches and compare their strengths and weaknesses for solving speech-processing tasks. Furthermore, we extensively cover ...
To the best of our knowledge, this is the first review work to provide a comprehensive review of designing trustworthy ML focused on speech- centric modeling.
Sep 8, 2023 · It is observed that Mel-Frequency Cepstral Coefficients (MFCC) often render superior discriminatory abilities in human voice recognition trials.
The article is organized according to the major ML paradigms that are either popular already or have potential for making significant contribu- tions to ASR ...
Jun 25, 2019 · This review article on speech signal analysis and processing, corresponding machine learning algorithms, and applied computational intelligence ...