Exploit of the Month or How Using Smartphones In Speakerphone-Mode Descimates Your Privacy: Spearphone (PDF) (by way of the obviously superlative engineering of S. Abhishek Anand, Chen Wang, Jian Liu, Nitesh Saxena and Yingying Chen), the speech privacy exploitation activity via the device-under-scrutiny's accelerometer detected vibrations emanating via the device's installed speakers. The claim is the use of the device's so-called speakerphone 'erodes' the privacy of the user. Today's Must Read! Hat Tip. Simply astonishing work.
"In particular, we show that by exploiting the affected accelerometer readings and carefully selecting feature sets along with off-the-shelf machine learning techniques, Spearphone can successfully perform gender classification (accuracy over 90%) and speaker identification (accuracy over 80%). In addition, we perform speech recognition and speech reconstruction to extract more information about the eavesdropped speech to an extent." via the Authors (S. Abhishek Anand, Chen Wang, Jian Liu, Nitesh Saxena and Yingying Chen))