https://github.com/krisharul26/speech-to-text-using-ai
Speech Recognition is an important feature in several applications used such as home automation, artificial intelligence, etc. This article aims to provide an introduction on how to make use of the SpeechRecognition library of Python. This is useful as it can be used on micro controllers such as Raspberry Pis with the help of an external microphone.
https://github.com/krisharul26/speech-to-text-using-ai
bert-model deep-learning nlp speech-recognition tesnorflow
Last synced: about 2 months ago
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Speech Recognition is an important feature in several applications used such as home automation, artificial intelligence, etc. This article aims to provide an introduction on how to make use of the SpeechRecognition library of Python. This is useful as it can be used on micro controllers such as Raspberry Pis with the help of an external microphone.
- Host: GitHub
- URL: https://github.com/krisharul26/speech-to-text-using-ai
- Owner: KrishArul26
- Created: 2021-11-04T07:54:59.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-11-04T09:23:50.000Z (almost 4 years ago)
- Last Synced: 2025-07-04T14:25:00.708Z (3 months ago)
- Topics: bert-model, deep-learning, nlp, speech-recognition, tesnorflow
- Language: HTML
- Homepage:
- Size: 13.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
Speech-To-Text-Using-AI
Introduction
Speech - Recognition is an important feature for severalapplications which is used such as home automation, artificial intelligence, etc. Thisproject aims to give an overview of how to make use of the Speech - Recognitionlibrary of Python for Daily usages. This is useful as it can be used on micro-controllers such as the Raspberry-PI module. The technology allows us to talk to a computer or device that interpretswhat we’re saying in order to respond to our question or command.
Popular digital assistants, include:
• Amazon’s Alexa
• Apple’s Siri
• Google’s Google Assistant
• Microsoft’s Cortana
🔑 Prerequisites
All the dependencies and required libraries are included in the file requirements.txt
Python 3.6
🚀 Installation For Speech2Text Application
1. Clone the repo
```
git clone https://github.com/KrishArul26/Speech-To-Text-Using-AI.git
```
2. Change your directory to the cloned repo
```
cd Speech-To-Text-Using-AI
```
3. Create a Python 3.6 version of virtual environment named 'speech' and activate it
```
pip install virtualenv
virtualenv speech
speech\Scripts\activate
```
4. Now, run the following command in your Terminal/Command Prompt to install the libraries required!!!
```
pip install -r requirements.txt
```
💡 Working
Type the following command:
```
python app.py
```
After that You will see the running IP adress just copy and paste into you browser and import or upload your speech then closk the predict button.
🔑 Results
