As informações desta página não estão completamente disponíveis no seu idioma de escolha. Esperamos disponibiliza-las integralmente em outros idiomas em breve. Para ter acesso às informações no idioma de sua preferência, faça o download do PDF aqui.
Plataformas
Nuance Mix
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the radarUnderstand more
Mar 2017
Avalie
Nuance Mix is a framework for natural language processing from the company that created the speech-to-text technology behind Dragon Speaking and the first roll-out of Siri. This framework supports the creation of grammars that allow for free-form user interaction via voice. The developer defines a domain-specific grammar that the framework can train itself to understand. The outcomes are responses to user input that identify the user's intents and interaction concepts. At first, it is limited to phrases close to the ones used to train it, but over time it can start to identify meaning from more divergent phrasing. Though it is still in beta, the accuracy from early exploration has been compelling, and the eventual product is one to watch for application forms that could benefit from hands-free user interaction—including mobile, IoT, AR, VR and interactive spaces.
Nov 2016
Avalie
Nuance Mix is a framework for natural language processing from the company that created the speech-to-text technology behind Dragon Speaking and the first roll-out of Siri. This framework supports the creation of grammars that allow for free-form user interaction via voice. The developer defines a domain-specific grammar that the framework can train itself to understand. The outcomes are responses to user input that identify the user's intents and interaction concepts. At first, it is limited to phrases close to the ones used to train it, but over time it can start to identify meaning from more divergent phrasing. Though it is still in beta, the accuracy from early exploration has been compelling, and the eventual product is one to watch for application forms that could benefit from hands-free user interaction—including mobile, IoT, AR, VR and interactive spaces.