Biometric Authentication: A Machine Learning Approach

9.5. Blind Handset-Distortion Compensation

As discussed in Section 9.4.2, one popular approach to compensating for handset distortion is to divide handsets into several broad categories according to the type of transducer (e.g., carbon button and electret). During operations, a handset selector is used to identify the most likely handset type from speech signals and handset distortion is compensated for based on some a priori information about the identified type in the database. Although this method works well in landline phones, it may encounter difficulty in mobile handsets because they have a large number of categories, new handset models are frequently released, and models can become obsolete in a short time. Maintaining a handset database ...