How to Build a Better User Experience with Customizable Real-Time Speech-to-Text

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Voice bots, automated phone calls, and simultaneous transcriptions: many applications use real-time transcription. With the latest innovations, the transcription speed is faster than ever. One practical caveat of using real-time transcription is the question of when the program should stop listening to the speaker and return the final edited transcript. The final transcript includes separating the utterance into sentences, punctuation, and capitalization.
This decision will likely depend on the use case and the needs of the end-user. That's why, now with AssemblyAI, you can customize when the program should stop listening to the user and return the finalized edited transcription. In this tutorial, we will show you how to customize your applications that use streaming speech-to-text with just one additional line of code.
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00:00 Introduction
00:30 Installing dependencies
01:18 Create an AssemblyAI account
02:14 Event handler functions
03:26 Handling the received transcript
05:14 Defining and connecting a transcriber
07:10 Testing the real-time transcription
07:45 Customizing end-of-utterance detection
09:18 Manually ending utterance
09:52 Disabling partial transcripts
10:41 Take a look at our docs
10:58 Keep learning!
#MachineLearning #deeplearning

[@mychromebook9935]

i'm really diggin' this calm-laid-back euro lady

[@ScottzPlaylists]

What is the Best Open Source equivalent all these features❓

[@Roopkishore726]

some problems to make android application.
Please make a video to make application for convert audio file to text in android studio when button click and text show in textview.

[@mehdismaeili3743]

Do you have a free or paid API to convert text to sound or to dub video?

[@jeanneleung7953]

First.