# Large Vocabulary Spontaneous Speech Recognition for Tigrigna

arXiv: https://arxiv.org/abs/2402.04254 · HTML: https://mlsanity.com/paper/2402.04254/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 5 references that are in the map.
- First posted on arXiv 15 Oct 2023.

## Built on by (most cited first, 2 of 2)

- [The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning](https://mlsanity.com/paper/2605.01704/) (2026)
- [Context-Enhanced Granular Edit Representation for Efficient and Accurate ASR Post-editing](https://mlsanity.com/paper/2509.14263/) (2025)

## Abstract (arXiv)

This thesis proposes and describes a research attempt at designing and developing a speaker independent spontaneous automatic speech recognition system for Tigrigna The acoustic model of the Speech Recognition System is developed using Carnegie Mellon University Automatic Speech Recognition development tool (Sphinx) while the SRIM tool is used for the development of the language model. Keywords Automatic Speech Recognition Tigrigna language