Robust Speech Pattern Classifier
Budget: $20 – $40 USD
This task involves a certain level of complexity, as it requires accurately distinguishing between similar sound patterns while ensuring the model is not affected by amplitude variations.
In addition, this approach should not rely on amplitude-based features. Instead, it may require advanced techniques such as blind source separation/localization and modern signal processing methods to improve robustness and accuracy.
Although feature extraction methods such as MFCC and PCEN can be used, the results may still be influenced by amplitude levels, which can affect the inference accuracy.
Therefore, I will assign this project to a suitable person with the required expertise.
Thank you.
In addition, this approach should not rely on amplitude-based features. Instead, it may require advanced techniques such as blind source separation/localization and modern signal processing methods to improve robustness and accuracy.
Although feature extraction methods such as MFCC and PCEN can be used, the results may still be influenced by amplitude levels, which can affect the inference accuracy.
Therefore, I will assign this project to a suitable person with the required expertise.
Thank you.