In this video, We will show you how can you record your voice using a microphone and convert to text in python
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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Learn how to convert your Text into Voice with Python and Google APIs
Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio with a button click or finger touch. Text to speech python project is very helpful for people who are struggling with reading.
To implement this project, we will use the basic concepts of Python, Tkinter, gTTS, and playsound libraries.
To install the required libraries, you can use pip install command:
pip install tkinter pip install gTTS pip install playsound
Please download the source code of Text to Speech Project: Python Text to Speech
The objective of this project is to convert the text into voice with the click of a button. This project will be developed using Tkinter, gTTs, and playsound library.
In this project, we add a message which we want to convert into voice and click on play button to play the voice of that text message.
So these are the basic steps that we will do in this Python project. Let’s start.
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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
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In this video, I will be showing you how to turn text into speech in Node.js
Thanks to advances in speech recognition, companies can now build a whole range of products with accurate transcription capabilities at their heart. Conversation intelligence platforms, personal assistants and video and audio editing tools, for example, all rely on speech to text transcription. However, you often need to train these systems for every domain you want to transcribe, using supervised data. In practice, you need a large body of transcribed audio that’s similar to what you are transcribing just to get started in a new domain.
Recently, Facebook released wav2vec 2.0 which goes some way towards addressing this challenge. wav2vec 2.0 allows you to pre-train transcription systems using _audio only — _with no corresponding transcription — and then use just a tiny transcribed dataset for training.
In this blog, we share how we worked with wav2vec 2.0, with great results.
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