Abstract: The location of voice prompts within a call waveform is usually conducted by match filtering a snippet of the prompt (approx. 800 ms) to the call waveform. In an enhanced process that can accommodate transmission errors when detecting voice prompts on lower quality transmission lines, a snippet of a voice prompt may be divided into sniplets, typically 100 ms long. The sniplets can be individually detected. If a sufficient number of sniplets are detected within allowed time tolerances, then this subset of detected sniplets can indicate the presence of the snippet, and thus the associated voice prompt.

Abstract: Prompt snippets (typically 800 ms long) that are used to detect voice prompts within a call waveform may be divided into smaller sniplet portions (approx. 100 ms) long. The presence of a prompt in a call waveform may be detected by detecting the sniplets and determining if a sufficient number of the sniplets of a snippet were detected in sequence and within allowable time constraints. The use of sniplets improves accuracy of prompt detection in call waveforms in lower quality transmissions.

Abstract: The location of voice prompts within a call waveform is usually conducted by match filtering a snippet of the prompt (approx. 800 ms) to the call waveform. In an enhanced process that can accommodate transmission errors when detecting voice prompts on lower quality transmission lines, a snippet of a voice prompt may be divided into sniplets, typically 100 ms long. The sniplets can be individually detected. If a sufficient number of sniplets are detected within allowed time tolerances, then this subset of detected sniplets can indicate the presence of the snippet, and thus the associated voice prompt.

Abstract: The location of voice prompts within a call waveform is usually conducted by match filtering a snippet of the prompt (approx. 800 ms) to the call waveform. In an enhanced process that can accommodate transmission errors when detecting voice prompts on lower quality transmission lines, a snippet of a voice prompt may be divided into sniplets, typically 100 ms long. The sniplets can be individually detected. If a sufficient number of sniplets are detected within allowed time tolerances, then this subset of detected sniplets can indicate the presence of the snippet, and thus the associated voice prompt.

Abstract: Prompt snippets (typically 800 ms long) that are used to detect voice prompts within a call waveform may be divided into smaller sniplet portions (approx. 100 ms) long. The presence of a prompt in a call waveform may be detected by detecting the sniplets and determining if a sufficient number of the sniplets of a snippet were detected in sequence and within allowable time constraints. The use of sniplets improves accuracy of prompt detection in call waveforms in lower quality transmissions.

Abstract: A quality assurance system is provided to collect and store data of quality characteristics of a painted surface. These characteristics may be the date and time of the data collection, ambient temperature, lowest substrate temperature, dew point, humidity, abrasive blasting, preservation, anti-fouling, conductivity, dry film thickness, wet film thickness, preservation minor deficiencies, and sound damping deficiencies. The system is provided with a computer having a user interface capability and read and write capabilities for the data. The system is also provided with a variety of clearance levels for the users of the system that pertain to the read and write capabilities. A method of quality assurance is also provided. The method involves providing a computer system with a user interface and collecting data of quality characteristics of a painted surface.