12/24/2022 0 Comments Using voice to text on iphoneIn that regard, iOS is usually considered the winner. The point of choosing one phone over another, for its privacy, should be to secure the phone in all the other ways-to prevent any information from leaking that can be prevented from leaking while retaining the functionality of the phone. So there’s a certain level of information leakage you’re accepting by doing something private on a phone in the first place. Phones already leak a lot of circumstantial forensic evidence just by being phones. being able to use your phone to break the (perhaps unjust) law, without a state actor being able to then prove you broke the law by forensically analyzing your phone. The thing people usually mean by privacy is “security of personal data and metadata”-i.e. Those are different things than what most people talking about iOS privacy mean by “privacy.” I'm super mega busy these days but also super mega interested in this. It's one of the key components (with a ton of groundbreaking NLP and/or the right regexes) that might allow closing the "strange feeling" you get when talking to the robot. "secretly" believe that very fast speech recognition is one of "the" secrets to building a smarter / better digital voice assistant. The slowest part of that Rube Goldberg was the google images search + loading the images. I made a small experiment with this same Chrome text to speech engine which triggered a google image search and showed in near real time image results for the spoken words. I don't remember the exact timing, but it was a roundtrip of 40-100?ms which is. I piggyback on the Web Speech API, which in the case of Chrome uses Google's servers.Ĭonsidering the audio stream upload & processing & network jitter/lag, the speed at which text results come back is simply incredible. I have an extension in the Chrome store that brings dictation into GMail. In Aug 2019, the Live Transcribe engine was open-sourced, &. What is especially interesting is that it seems it will be using the same language packs and RNNT models as the Recorder and GBoard apks To transcribe videos playing in the browser a new API is slowly being introduced: SODA. > Google is building speech recognition into Chromium, to bring a feature called Live Caption to the browser. Recent (May 2020) news suggests that these models may be coming to Chromium, which would make them widely accessible for offline transcription and dictation, e.g. Since GBoard uses TensorFlow Lite, and the blog post is also mentioning the use of this library, I was wondering if I could get my hands on the model, and import it in my own projects, maybe even using LWTNN. Unfortunately this speech recognizer is only available to Pixel owners at this time. > Especially the offline part is very appealing to me, as it should to any privacy conscious mind. Some hackers have been trying to reuse Google's offline speech recognition models within other software toolkits.
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