Artificial intelligence has made major strides in the past few years, but those rapid advances are now raising some big ethical conundrums. Chief among them is the way machine learning can identify people's faces in photos and video footage with great accuracy. This might let you unlock your phone with a smile, but it also means that governments and big corporations have been given a powerful new surveillance tool. A new report from the AI Now Institute (large PDF), an influential research institute based in New York, has just identified facial recognition as a key challenge for society and policymakers. The speed at which facial recognition has grown comes down to the rapid development of a type of machine learning known as deep learning.
Speaker recognition is a well known and studied task in the speech processing domain. It has many applications, either for security or speaker adaptation of personal devices. In this paper, we present a new paradigm for automatic speaker recognition that we call Interactive Speaker Recognition (ISR). In this paradigm, the recognition system aims to incrementally build a representation of the speakers by requesting personalized utterances to be spoken in contrast to the standard text-dependent or text-independent schemes. To do so, we cast the speaker recognition task into a sequential decision-making problem that we solve with Reinforcement Learning. Using a standard dataset, we show that our method achieves excellent performance while using little speech signal amounts. This method could also be applied as an utterance selection mechanism for building speech synthesis systems.
Fingerprint readers and facial recognition techniques are good for adding a base level of security to your phone without sacrificing convenience. However, they have their limits. It can be hard to switch between methods on a whim, and dedicated intruders can get through if they either make you unlock your phone or develop convincing fakes. Synaptics thinks it has a solution: It's unveiling a "biometric fusion engine" that can combine results from face and fingerprint detection before letting you into a mobile device or PC. Ideally, this makes it easier to sign in even as it adds an extra layer of security.
The Tokyo 2020 Olympics has everything to be a significant technological event. If we already had an appetizer of this during the presentation of the city as the next venue of the games during the closing of Rio 2016, little by little, more information comes to confirm this idea. The latest comes from the Japan Times website, which talks about the use of facial recognition technology during the event.