Mozilla to Represent Speech Synthesis System LPCNet

LPCNet uses DSP for LPC filtering (Linear Predictive Coding) and voice path modeling
21 November 2018   1040

Mozilla reported on the new speech synthesis system LPCNet, which effectively translates text to speech while reducing resource demands. This is achieved through a combination of traditional digital signal processing methods (DSP, digital signal processing) with speech synthesis mechanisms based on a recurrent neural network.

The main problem of modern systems for real-time speech synthesis based on neural networks is high computational complexity. It does not allow to use them on smartphones and tablets.

LPCNet uses DSP for LPC filtering (Linear Predictive Coding) and voice path modeling. Then, instead of all the selected samples, the neural network receives only the forecast of each subsequent one. This frees the AI ​​from modeling the vocal tract and leaves it with only an adjustment to the problems in forecasting. Neural networks need only to monitor the accuracy of the forecast, and not to generate each sample in real time.

The technology can be used in other areas where you need to improve the quality of the voice signal. For example, for transmitting speech over low-speed communication channels, eliminating noise, filtering data and restoring fragments of speech lost during transmission.

LPCNet is written in C using a high-level framework for building Keras neural networks. A GTX 1080 Ti video card is desirable for operation. Ready-made models are available for download, but the system can be trained on your own data. LPCNet is distributed under the BSD license.

Mozilla's speech synthesis system is being developed as an alternative to WaveNet by Google. The WaveNet code was open to developers in March 2018.

Apple to Acquire Drive.ai

Apple's decision came just in time - management of self-driving car startup was going to lay off a lot employees on Friday, 28.06
27 June 2019   605

Apple confirmed to Axios and The Verge that it bought a startup Drive.ai. As you can guess from the name, he developed the system of unmanned vehicle control. In recent times, things have been going badly. The management was going to close the company on Friday and disband the employees.

Drive.ai tested its technology on the redesigned Nissan NV200s - a bright orange car with several LED screens. They displayed messages for passersby and other road users: that the car gives way to a pedestrian, continues to move or turns into a ramp.

According to The Verge, a year ago, Drive.ai was considered one of the most promising startups in its field. It was estimated at 200 million dollars. According to the publications, Apple paid less for a startup.