Hello, welcome to my blog. I am Aathil Ahamed, I have youtube channel , I create faceless youtube videos , first i create script with a help of ai then , convert that script into voice.
i use python light weight libraries for this , but that voice are not clear , so i dicited to use python TTS library , i run this in my laptop its take more time , so i moved to google colab
Text-to-Speech Tasks Using Google Colab
For those facing computational constraints on their local devices, Google Colab emerges as a powerful solution. This guide details the process of utilizing Google Colab for converting text into speech, leveraging cloud computing to overcome hardware limitations.
Initial Setup on Google Colab
Begin by accessing Google Colab. Here’s how you can prepare your environment for text-to-speech operations
!pip install TTS
purpose of “ ! ” this command is in google colab notebook consider its commands like bash commands,
Code Implementation for Text-to-Speech
after installing the TTS library , you can write the code
from TTS.api import TTS
tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DCA")
# modify this script for your purpose
text = "Hello, welcome to my blog. I am Aathil Ahamed, and I run a YouTube channel where I create faceless videos. I begin by scripting my videos with the help of AI and then convert that script into voice."
# output file save like this
output_file = "output_audio.wav"
# Generate speech and save it to the file
tts.tts_to_file(text=text, file_path=output_file)
# Play the generated audio (optional, requires Colab environment)
from IPython.display import Audio
Audio(output_file)
after running this we can get you can get audio , this audio is my previous example
i upload this audio in my github repository
thank you for read my blog
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