Search results
Results from the WOW.Com Content Network
It ran on Tensor Processing Units. By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder. [10] GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2]
WaveNet is a deep neural network for generating raw audio. It was created by researchers at London-based AI firm DeepMind.The technique, outlined in a paper in September 2016, [1] is able to generate relatively realistic-sounding human-like voices by directly modelling waveforms using a neural network method trained with recordings of real speech.
Speech translation is the process by which conversational spoken phrases are instantly translated and spoken aloud in a second language. This differs from phrase translation, which is where the system only translates a fixed and finite set of phrases that have been manually entered into the system.
For premium support please call: 800-290-4726 more ways to reach us
Estill Voice Training (often abbreviated EVT) is a program for developing vocal skills based on analysing the process of vocal production into control of specific structures in the vocal mechanism. [1] By acquiring the ability to consciously move each structure the potential for controlled change of voice quality is increased. [2]
Neural machine translation models available through the Watson Language Translator API for developers. [4] [5] Microsoft Translator: Cross-platform (web application) SaaS: No fee required: Final: No: 100+ Statistical and neural machine translation: Moses: Cross-platform: LGPL: No fee required: 4.0 [6] Yes
Skype Translator was built on developments in deep neural networks [3] [4] for speech recognition and Microsoft Translator's statistical machine translation [5] [6] technology. Users converse in their native languages, and the speech is translated from one language to the other in “near real-time”, [ 7 ] [ 8 ] with the output translation ...
Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.