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Google unveils Lyra audio codec for voice calls over very slow communication channels
Google Announces Beta Lyra Audio Codec That Uses Machine Learning To Get The Best Voice Quality Even Over Very Slow Links. Lyra source code, as well as examples of its work, the company published on the GitHub platform. It is noted that for the transmission of unprocessed sound, a communication channel with a speed of only 3 Kbps is required.
Lyra code is written in C ++ using the Bazel framework. The current version of the audio codec uses the proprietary libsparse_inference library.so with a kernel implementation for math computation in a specialized instruction environment available on 64-bit ARM processors. The company notes that this is a temporary measure and in the future it is planned to develop an open replacement for the above library and provide support for various platforms.
The codec consists of an encoder and a decoder. The algorithm of the first operation is to extract the parameters of voice data every 40 milliseconds, compress them and transmit them to the recipient over the network. The task of the decoder is to convert these pieces of data back into a sound wave that can be reproduced on the listener’s side.
According to Google, Lyra’s architecture is more similar to that of traditional audio codecs using conventional audio compression techniques. Lyra’s advantage lies in the decoder’s ability to recover a high-quality signal using a generative machine learning system. It allows you to recreate missing information based on typical speech characteristics. Model for sound generation trained over thousands of hours with voice recordings in over 70 languages.
According to Google, the Lyra audio codec has many uses. For example, it can be used to archive large volumes of voice recordings, to save battery power in smartphones, and to reduce the load on the Network in case of emergencies.