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---
language:
- en
- ar
tags:
- gguf
- speech-recognition
- audio
- whisper
- tokenai
license: apache-2.0
datasets:
- multilingual-speech
model-index:
- name: ListenX Medium
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: multilingual-speech
type: audio
metrics:
- type: word-error-rate
value: 5.2
---
<p align="center">
<img src="listenx.png" alt="ListenX Logo">
</p>
# ListenX Medium (GGUF) by Token AI
**ListenX Medium** is an advanced speech recognition model developed by **Token AI**, based on the Whisper Medium architecture.
It is optimized for accurate multilingual transcription and translation, supporting high-quality performance across various speech recognition tasks.
## Model Overview
- **Model Name:** ListenX Medium
- **Developer:** Token AI
- **Format:** GGUF
- **Architecture:** Whisper Medium (modified and optimized by Token AI)
- **Primary Use:** Speech-to-text and audio transcription
- **Supported Languages:** English, Arabic, and multiple others
- **Release Year:** 2025
This model was designed to achieve high transcription accuracy even in noisy environments, making it suitable for research, AI assistants, automated captioning, and call center systems.
## Technical Details
| Attribute | Description |
|------------|-------------|
| Model Type | Encoder-decoder Transformer |
| Quantization | GGUF format for optimized CPU and GPU inference |
| Input | 16kHz mono audio waveform |
| Output | Transcribed or translated text |
| Training Data | Multilingual and domain-diverse speech datasets |
| Framework Compatibility | whisper.cpp, ctransformers, llama.cpp, and compatible backends |
## Usage
### 1. Using `whisper.cpp`
Download the model file (`model.gguf`) and run:
```bash
./main -m models/listenx-medium/model.gguf -f samples/audio.wav -otxt
|