Rashmi et al., 2024 - Google Patents
Optimization of Convolutional Neural Network Architectures for High-Accuracy Spoken Digit Classification Using Mel-Frequency Cepstral Coefficients.Rashmi et al., 2024
View PDF- Document ID
- 15317944155672957841
- Author
- Rashmi P
- Singh M
- Prakash P
- Publication year
- Publication venue
- Journal of Computational Analysis & Applications
External Links
Snippet
Sound recognition is the ability of machine learning to identify spoken words. Different approaches have led to various attempts to implement automatic sound recognition systems. In recent years, convolutional neural networks (CNNs) have gained acceptance for …
- 238000013527 convolutional neural network 0 title abstract description 92
Classifications
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- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/065—Adaptation
- G10L15/07—Adaptation to the speaker
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- G—PHYSICS
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- G10L15/144—Training of HMMs
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- G10L15/00—Speech recognition
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- G10L15/02—Feature extraction for speech recognition; Selection of recognition unit
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- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 characterised by the type of extracted parameters
- G10L25/18—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 characterised by the type of extracted parameters the extracted parameters being spectral information of each sub-band
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- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/66—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06N99/00—Subject matter not provided for in other groups of this subclass
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