An Integrated Semi-Supervised Framework for Low-Resource Language ASR: Acoustic Enhancement, LoRA Fine-Tuning, and Hybrid Post-Processing for Amazigh Variants

Efficient fine-tuning of whisper models for Amazigh ASR: leveraging LoRA and its variants

Fine-Tuning SLAM-ASR for Low-Resource Language Speech Recognition with High-Resource Alignment

Large language models (LLMs) have demonstrated potential in handling spoken inputs for high-resource

Targeted Lexical Injection with Early-Layer LoRA Fine-Tuning for Low-Resource Languages

Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their performance in low

Fine-tuning Whisper Tiny for Swahili ASR: Challenges and Recommendations for Low-Resource Speech Recognition

Whispering in Amharic: Fine-tuning Whisper for Low-resource Language

This work explores fine-tuning OpenAI's Whisper automatic speech recognition (ASR) model for Amharic

Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training

We present improvements in automatic speech recognition (ASR) for Somali, a currently extremely under-resourced language. This forms part of a continuing United Nations (UN) effort to employ ASR-based keyword spotting systems to support humanitarian relief programm