Abstract: A computer-implemented method for managing family history records is described. Family history data is collected. The collected family history data is compared to data in an existing family history record. Upon determining the collected family history data matches at least a portion of the data in the existing family history record, the existing family history record is updated to include at least a portion of the collected family history data.

Abstract: A computer-implemented method for detecting a landmark. An image is received. A feature in the received image is detected. The detected feature is compared to a plurality of images of landmarks stored in a database. Upon determining the detected feature matches an image of a landmark, information associated with the landmark is retrieved from the database. The retrieved information is displayed on a computing device.

Abstract: In a speech processing system, an optimal filter frequency is determined and used to filter an unfiltered signal. The optimum filter is chosen by passing the largest voice area greater than 50 ms through multiple filters. The average energy output for each filter and differences between the filter averages (DeltaEnergy) are calculated. The first peak in DeltaEnergy above the average DeltaEnergy determines the optimal filter for filtering the signal. The filtered signal is divided into segments and voiced periods are determined. The unfiltered signal is divided into pitch synchronous frames based on the filtered signal.

Abstract: A system and method for identifying the phoneme sound types that are contained within an audio speech signal is disclosed. The system includes a microphone and associated conditioning circuitry, for receiving an audio speech signal and converting it to a representative electrical signal. The electrical signal is then sampled and converted to a digital audio signal with a digital-to-analog converter. The digital audio signal is input to a programmable digital sound processor, which digitally processes the sound so as to extract various time domain and frequency domain sound characteristics. These characteristics are input to a programmable host sound processor which compares the sound characteristics to standard sound data. Based on this comparison, the host sound processor identifies the specific phoneme sounds that are contained within the audio speech signal.

Abstract: A system and method for identifying the phoneme sound types that are contained within an audio speech signal is disclosed. The system includes a microphone and associated conditioning circuitry, for receiving an audio speech signal and converting it to a representative electrical signal. The electrical signal is then sampled and converted to a digital audio signal with a digital-to-analog converter. The digital audio signal is input to a programmable digital sound processor, which digitally processes the sound so as to extract various time domain and frequency domain sound characteristics. These characteristics are input to a programmable host sound processor which compares the sound characteristics to standard sound data. Based on this comparison, the host sound processor identifies the specific phoneme sounds that are contained within the audio speech signal.