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

[@frankking5326]

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

[@mariodevelopersantos1102]

this is exactly what I needed, thanks

[@ashishkumar-eo1tz]

Simply awesome. Keep up the good work bro 👍

[@TheCloudShepherd]

Excellent. Thank you very much

[@DungLe-rp5vu]

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

[@user-wr4yl7tx3w]

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]

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

[@TheCloudShepherd]

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

[@jiejenn]

Glad the video helped.

[@Grams79]

Thank you!

[@g_30_sanketpatil62]

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

[@RicardoCrumbleton]

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

[@jessenorris1672]

Hi there could you make a video on adding the speech to text API to a discord channel, that would help me out a lot thanks in advance.

[@JuanFernandoCuetoHuaringa-i7e]

Donde se encuentra la interfaz de usuario?

[@ashishprakash8430]

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

[@frankking5326]

what error did you get?

[@ashishprakash8430]

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

[@jubileudasilva9258]

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.

[@MinaNassef-p6r]

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]

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

[@madhav1527]

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

[@MinaNassef-p6r]

@@madhav1527 I used Open AI Whisper

[@madhav1527]

​@@MinaNassef-p6r 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]

​​@@MinaNassef-p6r and one more question, how accurate would you say the open ai whisper is

[@dhoreys]

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

[@jiejenn]

You can search on Google, there are plenty.

[@dhoreys]

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

[@aastharathod8786]

how can i get it for JAVA?

[@sadamhussain816]

Is it free?

[@manualdevalor]

No

[@7BlackJack8]

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