Voice Assistant to Recognize Voiceless Commands

Technology, based on neural network, can be used in public places without the risk of disturbing others
22 October 2018   1595

Developers from Tsinghua University have developed a voice assistant for smartphones that recognizes commands from the user's lip movements. This technology can be applied in public places without the risk of disturbing others.

Yuanchun Shi and colleagues presented an article at the UIST 2018 conference in which they described lip recognition technology and its translation into text. Such a voice assistant uses the front camera and the convolutional neural network. The algorithm tracks 20 control points that accurately describe the shape of the lips, and also determines how open the user's mouth is. This allows you to recognize the beginning and end of the command. The second algorithm decrypts the data. In this case, while all the calculations occur separately on a powerful PC.

For recognition, a limited set of commands is used — a total of 44, which apply to both individual applications and specific functions, such as turning Wi-Fi on and off. System-wide tasks are also supported, such as responding to a message or highlighting text.

The developers claim that the average recognition accuracy is 95.5%. It is based on the results of training on the speech of 21 people. Tests were conducted in the Beijing subway. As a result, it turned out that this method is considered more comfortable by users.

So far, the developers do not specify when the new application will appear in the release. However, if a powerful computer is still needed for recognition, it will not happen soon. Or the system will require a permanent connection to the network.

BNC to Monitor BTC Community's Mood

The system called Twitter Sentiment analyzes over 34M BTC-related Twitter posts each week, using AI to track the mood of the community
22 January 2020   479

Blockchain-based New Zealand-based research firm Brave New Coin (BNC) has unveiled a new system for measuring the mood of the Bitcoin community based on Twitter messages.

According to BNC, the new Twitter Sentiment rating system analyzes over 34 million BTC-related Twitter posts each week. The company uses artificial intelligence (AI) algorithms that look for records containing the words bitcoin, $ BTC and BTC and others.

BNC notes that user sentiment continues to be a “significant” factor in the price and dynamics of digital assets, and a new technique has been developed to track these sentiments. According to the BNC, it took 18 months to launch the Bitcoin Twitter Sentiment. The data obtained is divided into seven categories - Opinion, Technical Information, Inside the Network, Advertising, Bots, Macros and Hacking.

For the week ending January 17, the most common entries were in the Opinion category - their number was 30.42% of all data received. In second place was the category Technical Information, and in third inside the network (includes information on mining and hashrate).

BNC spokeswoman Pierre Ansaldi said that during the first quarter of this year, the company will also launch community sentiment analysis tools for other crypto assets.