Google to Update Its Speech Service

Cloud Speech-to-Text and Text-to-Speech services received new interesting features
30 August 2018   509

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.

Facebook to Release PyTorch 1.0

This release added support for large cloud platforms, a C ++ interface, a set of JIT compilers
10 December 2018   106

Facebook has released a stable version of the library for machine learning PyTorch 1.0. This iteration added support for large cloud platforms, a C ++ interface, a set of JIT compilers, and various improvements.

The stable version received a set of JIT compilers that eliminate the dependence of the code on the Python interpreter. The model code is transformed into Torch Script - a superstructure over Python. Keeping the opportunity to work with the model in the Python environment, the user can download it to other projects not related to this language. So, the PyTorch developers state that the code processed in this way can be used in the C ++ API.

The torch.distributed package and the torch.nn.parallel.DistributedDataParallel module are completely redesigned. torch.distributed now has better performance and works asynchronously with the Gloo, NCCL and MPI libraries.

The developers added a C ++ wrapper to PyTorch 1.0. It contains analogs of Python interface components, such astorch.nn,torch.optim, torch.data. According to the creators, the new interface should provide high performance for C ++ applications. True, the C ++ API is still experimental, but it can be used in projects now.

To improve the efficiency of working with PyTorch 1.0, a Torch Hub repository has been created, which stores pre-trained models of neural networks. You can publish your own development using the hubconf.py file, after which the model will be available for download by any user via the torch.hub.load API.

Support for C extensions and the module torch.utils.trainer were removed from the library.

Facebook released the preliminary version of PyTorch 1.0 at the beginning of October 2018, and in two months the developers brought the framework to a stable state.