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# Multilingual End-to-End Automatic Speech Recognition for Kazakh, Russian, and English
This repository contains the code and pretrained models for a study on multilingual end-to-end (E2E) automatic speech recognition (ASR) for Kazakh, Russian, and English, as described in [A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English](https://arxiv.org/abs/2108.01280). The research explores the performance of multilingual E2E ASR models using Transformer networks, comparing different output grapheme set constructions (combined and independent), and evaluating the impact of language models (LMs) and data augmentation techniques. The best monolingual and multilingual models achieved 20.9% and 20.5% average word error rates, respectively, on a combined test set.
**Repository:** [Insert Hugging Face Repository Link Here]
## Model Description
This work trains a single E2E ASR model capable of recognizing Kazakh, Russian, and English speech. Two variants of output grapheme set construction are explored: combined and independent. The impact of LMs and data augmentation (Speed Perturbation and SpecAugment) on model performance is also investigated. The models are based on Transformer networks.
## Evaluation Results
The multilingual models achieve comparable performance to monolingual baselines with a similar number of parameters.
| Model Type | Average Word Error Rate (%) |
|---------------------------------|-----------------------------|
| Best Monolingual | 20.9 |
| Best Multilingual | 20.5 |
## Pre-trained Models
The following pre-trained models are available:
| Model | Large Transformer | Large Transformer w/ SP | Large Transformer w/ SP & SpecAugment |
|---------------------------|--------------------|------------------------|---------------------------------------|
| Monolingual Kazakh | [Model Link] | [Model Link] | [Model Link] |
| Monolingual Russian | [Model Link] | [Model Link] | [Model Link] |
| Monolingual English | [Model Link] | [Model Link] | [Model Link] |
| Multilingual Combined | [Model Link] | [Model Link] | [Model Link] |
| Multilingual Independent | [Model Link] | [Model Link] | [Model Link] |
**(Note: Replace "[Model Link]" with the actual Hugging Face model links.)**
## Citation
```bibtex
@article{...,
title={A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English},
author={...},
journal={arXiv preprint arXiv:2108.01280},
year={2021}
}
```
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