Google is rolling out an end-to-end on-device speech recognition technology entirely driven by neural networks for speech input in its Gboard virtual keyboard app. In a blog post, Google describes a recent paper which presents a new model trained with a recurrent neural network transducer (RNN-T) compact enough to run on a smartphone. According to "Streaming End-to-End Speech Recognition for Mobile Devices," end-to-end models directly predict character output based on speech input, and are good candidates for running speech recognition on edge devices. The Google research team found in its experiments that the RNN-T approach outperformed a conventional model based on connectionist temporal classification (CTC) in both latency and accuracy. Traditional speech recognition systems identify phonemes (sound units) from segments of audio, a model to connect phonemes into words, and a language model to analyze the likelihood of a given phrase, according to the blog.

In a major step towards its "AI first" dream, Google has developed a text-to-speech artificial intelligence (AI) system that will confuse you with its human-like articulation. The tech giant's text-to-speech system called "Tacotron 2" delivers an AI-generated computer speech that almost matches with the voice of humans, technology news website Inc.com reported. At Google I/O 2017 developers conference, company's Indian-origin CEO Sundar Pichai announced that the internet giant was shifting its focus from mobile-first to "AI first" and launched several products and features, including Google Lens, Smart Reply for Gmail and Google Assistant for iPhone. According to a paper published in arXiv.org, the system first creates a spectrogram of the text, a visual representation of how the speech should sound. That image is put through Google's existing WaveNet algorithm, which uses the image and brings AI closer than ever to indiscernibly mimicking human speech.

Website security checks that challenge people to prove they are human are likely to "disappear" in favour of a new system developed by Google. Captcha checks typically ask people to complete a puzzle that a computer would struggle to complete correctly. They are designed to stop automated bots accessing and using websites. Google's new system tracks how a person interacts with a website to prove they are real, so the puzzles are no longer necessary for most people. Captcha checks are often deployed by concert ticket websites to stop people setting up automated bots to buy all the best tickets.

The program name is Planet and uses earning neural network program. Thanks to Google, a new artificial intelligence system is outperforming humans in spotting the origins of images. Google has unveiled a new system to identify where photos are taken. The task, simple when images contain famous landmarks or unique architecture, goes beyond the overt to examine small clues hidden in the pixels. The program, named PlaNet, uses a deep-learning neural network, which means the more images PlaNet sees, the smarter it gets.