Recent developments in voice biometrics: Robustness and high accuracy

Recently, researchers have tackled difficult voice biometrics problems that resonate with the defense and research communities. These problems include non-ideal recording conditions that are frequently found in operational scenarios, such as noise, reverberation, degraded channels, and compressed audio. In this article, we highlight SRI´s innovations that resulted from the IARPA Biometrics Exploitation Science & Technology (BEST) and the DARPA Robust Automatic Transcription of Speech (RATS) programs, as well as SRI´s approach for codec-degraded speech. We show how these advancements support the case for the biometrics community adopting the use of speaker recognition.