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This paper proposed a novel feature extraction algorithm aiming at improving speech recognition robustness in noise environmental conditions. Different frequency within corresponding critical bandwidth signal for human ear cause basement membrane vibration in different location, while the constant Q characteristics of each analysis frequency for wavelet packet transform and signal processing characteristics...
In tasks related to the analysis and recognition of pathological speech it is often more important to provide the respective person (e.g. physician) with guidelines for a deformation degree assessment of speech signal than to achieve a very accurate automated recognition. By ear it is easy to judge whether the speech is regular or deformed, but any attempt of a deformation degree evaluation is not...
This paper describes a novel speech visualization method that creates a readable pattern based on robust self-organizing map (RSOM). According to SOM, RSOM introduces a time enhanced mechanism to improve system performance. The method remedies the defect that SOM only provides spatial topographic map ignoring temporal factor which is extremely important for speech signal. Firstly, speech signal undergoes...
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