speech-to-text-demo | user interface based on user 's voice commands using speech | Speech library
kandi X-RAY | speech-to-text-demo Summary
kandi X-RAY | speech-to-text-demo Summary
Ever wonder what it's like to have Jarvis from Iron Man? Well now with the advances in machine learning and speech recognition, what if we build web applications with something like Jarvis? This is a simple proof of concept that demonstrates how users can now build web UIs with simple voice commands. This application is built using RecorderJS to record audio, Bing Speech API to recognize user's voice commands while it also uses LUIS (Language Understanding Intelligent Services) to understand the user's intentions, which are interpreted and used for updating cells in a web user interface.
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QUESTION
I'm working on a project and I have to go to a site and drop a soy there. I am trying to do this using the Python selenium module, but when I enter the site with a bot, I get a popup (an acceptance form about cookies). I cannot achieve what I am trying to do without pressing accept.
I checked the network section of the site and found the site containing cookies, when I enter that site the code works properly and it succeeds in pushing the accept cookies button, but this does not work for me because it cannot even find the accept button on the main site, I know it is not because it is written in javascript, but i don't know how to do this.
Anyway, let's get to the code part.
on the site I'm trying to login
the site that sent the cookie form the site uses
this code works for this:
...ANSWER
Answered 2021-Jan-18 at 09:38You could use pyautogui instead to stimulate the click:
QUESTION
I'm considering porting a speech 2D HTML5 web game I've built to Unity2D for iPhone and Android. I'm a full-stack web developer, and not a Unity developer, so an agency would help me build the Unity app. Before signing with them, I need to be sure both Speech to Text (STT)
and Text to Speech (TTS)
services are available for Mandarin, Spanish, and English, otherwise I'd waste a lot of money up front.
For Web, Webkit Speech (STT Docs, STT Demo, TTS Docs, TTS Demo) is easily accessible via the browser. I've found that IBM Watson has an API available, and has demos for STT and TTS, and I've found that they have a Unity SDK here, but I don't have the skillsets to test the Unity SDK.
I'm looking for guidance on great STT and TTS APIs that the agency can use for those three foreign languages.
- Does the Unity SDK provide support for frontend STT and TTS audio streaming? STT needs to capture users' voice input and transcribe it quickly. Likewise, TTS needs to allow the user to hover over a target language word and listen to a near-native pronunciation.
- Does it offer both STT and TTS for Spanish, Mandarin, and English?
- What other NLP APIs are there which meet my requirements?
Apologies, I'm completely new to Unity/phone development so any guidance here would be extremely helpful. If no APIs exist that meet these requirements then Unity won't work for my app since STT and TTS is critical.
...ANSWER
Answered 2020-Jun-08 at 23:52Overall, realtime audio recording in Unity is awful, the system is simply not designed to record audio continuously. You can record a clip with AudioSource but that is a clip of fixed length, not a streaming solution.
For streaming you can get the audio with AudioFilterRead but it is not really the API for recording, it is more for effects. For recording it has unpredictable latency and also slows down the UI significantly.
As a result, you can only have push-to-talk kind of interaction, not realtime interaction.
If you have other alternatives you'd better consider them too. For example, you can consider native app.
QUESTION
I'm trying to build an app in C# that will take an audio stream (from a file for now, but later it will be a web stream) and return transcriptions from Watson in real time as they become available, similar to the demo at https://speech-to-text-demo.mybluemix.net/
Does anyone know where I can find some sample code, preferably in C#, that could help me get started?
I tried this, based on the limited documentation at https://github.com/watson-developer-cloud/dotnet-standard-sdk/tree/development/src/IBM.WatsonDeveloperCloud.SpeechToText.v1, but I get a BadRequest error when I call RecognizeWithSession. I'm not sure if I'm on the right path here.
...ANSWER
Answered 2017-Sep-12 at 17:10Inside the Watson Developer Cloud - SDK's, in your programming language, you can see one folder called Examples, and you can access the example for using Speech to Text.
The SDK has support for WebSockets which would satisfy your requirement of transcribing more real-time versus uploading an audio file.
QUESTION
It seems that the WebSocket API in Safari 10.1 has a maximum amount of binary data that it can buffer and then the next message sent gets the error "WebSocket connection to ... failed: Failed to send WebSocket frame."
Safari then closes the connection with code 1006 (CLOSE_ABNORMAL).
WebSockets are supposed to report the bufferedAmount
- but Safari always reports 0
until after the error occurs and the connection is closed.
I tried just doing 100ms a setTimeout between each message, and that seems to work in the case of small chunks of data, but it seems brittle and large chunks still get errors when I send my closing JSON message, even with a longer delay.
You can see the bug in action here - the "Play Sample" buttons work in Safari 10.03 but error in 10.1. (Code that handles the WebSocket connection.)
Any ideas on how to work around this? Or what the limit even is? I know that Safari is Open Source, but I'm not sure where to look.
Update: here's a simpler example:
...ANSWER
Answered 2017-Aug-19 at 03:36I tried your real world link on Safari 10.1.2 and did not see the problem. Seems it has been fixed.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install speech-to-text-demo
Sign up for Microsoft Cognitive Service here and get your keys for Speech API
Follow the steps here to create your own LUIS app, then get your LUIS application id and your LUIS Subscription-key.
To get the same trained LUIS app for moving cells, you can also import an existing app by using cellmover.json.
To get the same context trained by CRIS, you can upload cris.json to create your own language model.
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