Automatic Speech Recognition for Low-Resource Sinhala: A Critical Review of Methods, Challenges, and Future Directions
cs.CL
Submitted: 2026-10-05
Updated: 2026-10-05
Sources
- Survey on Publicly Available Sinhala Natural Language Processing Tools and Research
- Sequence Transduction with Recurrent Neural Networks
- XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
- Scaling Speech Technology to 1,000+ Languages
- ESPnet: End-to-End Speech Processing Toolkit
- Towards Building ASR Systems for the Next Billion Users
- VoxLingua107: a Dataset for Spoken Language Recognition
- LoRA: Low-Rank Adaptation of Large Language Models
- Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
- Language model fusion for streaming end to end speech recognition
- SinLlama -- A Large Language Model for Sinhala
- Distilling the Knowledge in a Neural Network
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