Whisper Small Kyrgyz

🚀 Whisper ASR for Kyrgyz Language

Whisper ASR for Kyrgyz Language is an automatic speech recognition (ASR) solution customized for the Kyrgyz language. It can accurately transcribe Kyrgyz speech, considering its specific phonetic intricacies.

🚀 Quick Start

📦 Installation

To run the model, you need to install the following dependencies first:

!pip install datasets>=2.6.1
!pip install git+https://github.com/huggingface/transformers
!pip install librosa
!pip install evaluate>=0.30
!pip install jiwer
!pip install gradio==3.50.2

Link to the Hub

Linking the notebook to the Hub is straightforward. You just need to enter your Hub authentication token when prompted:

from huggingface_hub import notebook_login

notebook_login()

💻 Usage Examples

Basic Usage

Now that we've fine-tuned our model, we can build a demo to show off its ASR capabilities. We'll use 🤗 Transformers pipeline, which will handle the entire ASR pipeline, from pre - processing the audio inputs to decoding the model predictions. We'll build our interactive demo with Gradio.

Running the example below will generate a Gradio demo where you can record speech through the microphone of your computer and input it to our fine - tuned Whisper model to transcribe the corresponding text:

from transformers import pipeline
import gradio as gr

pipe = pipeline(model="UlutSoftLLC/whisper-small-kyrgyz")  

def transcribe(audio):
    text = pipe(audio)["text"]
    return text

iface = gr.Interface(
    fn=transcribe, 
    inputs=gr.Audio(source="microphone", type="filepath"), 
    outputs="text",
    title="Whisper Small Kyrgyz",
    description="Realtime demo for Kyrgyz speech recognition using a fine-tuned Whisper small model.",
)

iface.launch()