…coding), A-law or Mu-law, PCM, 8kHz+ sampling Voiceprints: AGE L4 model supports SID4 L4 voiceprints; legacy AGE models support voiceprints created by AGE itself Output Log file with processed information (age estimate) Processing speed Approx. 20x faster than real-time processing on 1 CPU core i.e. standard 8 CPU core server processes 3,840 hours of audio in 1 day of computing…
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…user (for more information, have a look at SID Evaluation). Audio Source Profile caching (SPE only) In order to maximize the speed of continuous Speaker Identification with calibration, we have implemented a caching mechanism with two separate caches (which themselves are separate from the basic SPE result cache). Audio Source Profiles cache Persistence: no (in-memory only) Cache Type: LRU cache…
…process data faster than realtime, which allows them to utilize 100% of a physical CPU core. This means that for file processing technologies the number of workers should be set to a number of physical CPU cores in the server and there is no point configuring more workers. Stream processing can process data at real time speed at maximum –…
…times for each number of used cores (physical and virtual) Collected data are saved in CSV file FTRT numbers are calculated as median from collected measurements. Total system performance is simple multiplication of computed FTRT equivalent. Measuring of a software processing speed – what is the FtRT (Faster than Real Time) Understanding of the methodology: At the beginning, our…
…Fixes Speech Engine: The 5th generation of Speaker Identification (SID) We are eager to introduce a new 5th generation model XL5 of our Speaker Identification. Its main highlights are: Increased accuracy by 1 p.p. (33 % lower EER) over XL4 model, especially on 16 kHz audio (VoLTE) Same or faster processing speed than XL4 model Optional backward voiceprint compatibility with…