Google to Update Its Speech Service

Cloud Speech-to-Text and Text-to-Speech services received new interesting features
30 August 2018   1514

The Google Cloud team announced the stable release of the Cloud Text-to-Speech speech synthesis API with experimental audio profiles function and support for several new languages. Service for decoding audio Cloud Speech-to-Text has learned to recognize different speakers and independently determine the language of the recording from several possible ones.

Along with the transition to a stable working regime, the API for translating written speech into spoken language now supports a number of new languages ​​and voices created with the help of WaveNet technology. In total, 14 languages ​​and dialects are available, which are spoken by 30 standard "voices" and 26 ones that are based on WaveNet.

Audio profile function is available in beta mode. It allows you to automatically optimize the audio file for a particular device: smart watches and other wearable gadgets, smartphones, headphones, conventional and stereo speakers, smart home audio systems, car speakers. You can also set the mode to "default".

Cloud Speech-to-Text API received the function of recognizing speakers by voice. Using machine learning, the system, when transcribing, separates the replicas of different people and marks them with numbers. However, at the beginning of the audio file processing, you need to specify the number of speakers.

Also, the Google Cloud team added the automatic language detection function to the record. Using the API for their applications, the developer can specify up to 4 languages ​​in one query. At the time of writing, the tool supports 120 languages.

Telephone Filter
Telephone Filter

The technology of speech synthesis Google used for a long time only in its own products. For third-party developers it became available in March 2018 with a choice of 32 voices and 12 languages. And the service of decoding the oral speech used to be called the Cloud Speech API, and the current name was received in April 2018, along with new models for analyzing calls and video.

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   459

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.