Google Cloud Speech-To-Text API With Python For Beginners

With Google Speech-To-Text API, you can convert speech to text, transcribe videos, and even recognize custom keywords. In this video, we are going to learn how to get started with the Google Speech-to-Text API in Python from scratch. I will show you every single step from create a Google Cloud project all the way to writing a Python script to connect to Google Cloud Speech-To-Text API. So if you are new to Google Cloud service, this would be a great introductory video to learn how to get started.
📑 Google Speech-To-Text Models: cloud.google.com/speech-to-te...
📑 Audio Encoding List: cloud.google.com/speech-to-te...
📑 Google Speech-To-Text API Reference: cloud.google.com/speech-to-te...
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00:00 - Intro
00:50 - Google Speech-To-Text API Pricing
01:11 - Create Python Virtual Environment
03:17 - Install Speech-To-Text API Python package
03:36 - Create a Google Cloud project
04:50 - Enable Speech-To-Text API
06:38 - Create a Google Service Account
07:38 - Download Service Account client file
08:57 - Python script example 1 (local file)
17:47 - Python script example 2 (cloud storage)
#googlecloud #googlespeechtotext #googleapi

Пікірлер: 29

  • @frankking5326
    @frankking53266 ай бұрын

    After two days fighting with this on my own, your video solved my problem!! Thanks

  • @mariodevelopersantos1102
    @mariodevelopersantos11028 ай бұрын

    this is exactly what I needed, thanks

  • @ashishkumar-eo1tz
    @ashishkumar-eo1tz Жыл бұрын

    Simply awesome. Keep up the good work bro 👍

  • @TheCloudShepherd
    @TheCloudShepherd5 ай бұрын

    Excellent. Thank you very much

  • @DungLe-rp5vu
    @DungLe-rp5vu7 ай бұрын

    Your instructions are great, besides how can I get text from online mp3 link?

  • @RicardoCrumbleton
    @RicardoCrumbleton6 ай бұрын

    How could this be adapted for the v2 api with Chirp?

  • @g_30_sanketpatil62
    @g_30_sanketpatil623 ай бұрын

    hey bro i have created a voice bot using google dialogflow cx, now I wanted to transcribe the ongoing voice call so can you please tell me how can I achieve it thanks

  • @user-wr4yl7tx3w
    @user-wr4yl7tx3w Жыл бұрын

    by chance, do you have any idea what Industry Coding Assessment is, as part of an interview? I was told that it is not the same as testing you on algorithms, like in LeetCode.

  • @jiejenn

    @jiejenn

    Жыл бұрын

    Each company is different, so there's no defined answer to be honest.

  • @aastharathod8786
    @aastharathod878611 ай бұрын

    how can i get it for JAVA?

  • @user-wo2xo4du2l
    @user-wo2xo4du2l5 ай бұрын

    Donde se encuentra la interfaz de usuario?

  • @TheCloudShepherd
    @TheCloudShepherd5 ай бұрын

    Google documentation sucks. Thanks for this clearly explained how-to video

  • @jiejenn

    @jiejenn

    5 ай бұрын

    Glad the video helped.

  • @ashishprakash8430
    @ashishprakash84307 ай бұрын

    hii, i follow your tutorial but it is not transcribing all audio.. please help.

  • @frankking5326

    @frankking5326

    6 ай бұрын

    what error did you get?

  • @ashishprakash8430

    @ashishprakash8430

    6 ай бұрын

    @@frankking5326 found the solution, I was using default model. Video model worked. Thanks for your tutorial.

  • @jubileudasilva9258

    @jubileudasilva9258

    Ай бұрын

    Speech-to-Text has three main methods to perform speech recognition. These are listed below: Synchronous Recognition (REST and gRPC) sends audio data to the Speech-to-Text API, performs recognition on that data, and returns results after all audio has been processed. Synchronous recognition requests are limited to audio data of 1 minute or less in duration. Asynchronous Recognition (REST and gRPC) sends audio data to the Speech-to-Text API and initiates a Long Running Operation. Using this operation, you can periodically poll for recognition results. Use asynchronous requests for audio data of any duration up to 480 minutes. Streaming Recognition (gRPC only) performs recognition on audio data provided within a gRPC bi-directional stream. Streaming requests are designed for real-time recognition purposes, such as capturing live audio from a microphone. Streaming recognition provides interim results while audio is being captured, allowing result to appear, for example, while a user is still speaking.

  • @user-kb6ck7gb6f
    @user-kb6ck7gb6f4 ай бұрын

    Is it possible to make it recognize in real-time from a microphone with good performance? Edit: Another Question: Does it support the Arabic language as AWS doesn't in streaming (real-time)?

  • @jiejenn

    @jiejenn

    4 ай бұрын

    Yeah, it definitely possible, but not going to be cheap though.

  • @madhav1527

    @madhav1527

    3 ай бұрын

    Hi Did you find out a solution on how to get the input from a microphone, and supporting arabic? in real time, if so do let me know as i am having trouble in implementing the same

  • @user-kb6ck7gb6f

    @user-kb6ck7gb6f

    3 ай бұрын

    @@madhav1527 I used Open AI Whisper

  • @madhav1527

    @madhav1527

    3 ай бұрын

    ​@@user-kb6ck7gb6f but that has a cost right per api call, could you let me know if you found any library that does it without a cost

  • @madhav1527

    @madhav1527

    3 ай бұрын

    ​​@@user-kb6ck7gb6f and one more question, how accurate would you say the open ai whisper is

  • @dhoreys
    @dhoreys2 ай бұрын

    My .wav file did not convert. Is there a sample .wav file I could use?

  • @jiejenn

    @jiejenn

    2 ай бұрын

    You can search on Google, there are plenty.

  • @dhoreys

    @dhoreys

    2 ай бұрын

    @@jiejenn The samples I have aren't working. I tried those. Gemini is saying to make sure that the file is in LINEAR16 format.

  • @sadamhussain816
    @sadamhussain81611 ай бұрын

    Is it free?

  • @manualdevalor

    @manualdevalor

    8 ай бұрын

    No

  • @7BlackJack8
    @7BlackJack821 күн бұрын

    Google couldn't do any better to gets developer away from this. It's an atrocious mess to use the apis