Convert Speech to Text
Last updated
Last updated
I have provided the FULL CODE in the DESCRIPTION of this above VIDEOSpeech recognition is the ability of a computer software to identify words and phrases in spoken language and convert them to human readable text. In this tutorial, you will learn how you can convert speech to text in Python using SpeechRecognition library.As a result, we do not need to build any machine learning model from scratch, this library provides us with convenient wrappers for various well known public speech recognition APIs (such as Google Cloud Speech API, IBM Speech To Text, etc.).Alright, let's get started, installing the library using pip:
Okey, open up a new Python file and import it:
Reading from a FileMake sure you have an audio file in the current directory that contains english speech (if you want to follow along with me, get the audio file here):
This file was grabbed from LibriSpeech dataset, but you can bring anything you want, just change the name of the file, let's initialize our speech recognizer:
The below code is responsible for loading the audio file, and converting the speech into text using Google Speech Recognition:
This will take few seconds to finish, as it uploads the file to Google and grabs the output, here is my result:
This requires PyAudio to be installed in your machine, here is the installation process depending on your operating system:WindowsYou can just pip install it:
LinuxYou need to first install the dependencies:
MacOSYou need to first install portaudio, then you can just pip install it:
Now let's use our microphone to convert our speech:
This will hear from your microphone for 5 seconds and then tries to convert that speech into text !It is pretty similar to the previous code, but we are using Microphone() object here to read the audio from the default microphone, and then we used duration parameter in record() function to stop reading after 5 seconds and then uploads the audio data to Google to get the output text.You can also use offset parameter in record() function to start recording after offset seconds.Also, you can recognize different languages by passing language parameter to recognize_google() function. For instance, if you want to recognize spanish speech, you would use:
Check out supported languages in this stackoverflow answer.
As you can see, it is pretty easy and simple to use this library for converting speech to text. This library is widely used out there in the wild, make sure you master it, check their official documentation.If you want to convert text to speech in Python as well, check this tutorial.If this tutorial was helpful. Buy me a Coffee -> buymeacoff.ee/gajeshnaik
Reference : https://hackernoon.com/how-to-convert-speech-to-text-in-python-844e3y4l