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canonical_url: "https://aidr.today/73a15035?lang=en"
title: "Mixture of Phonetic Experts Based Low-Rank Adaptation of Conformer Models for Accented English Speech Recognition"
lang: "en"
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published_at: "2026-10-21T04:00:00.000Z"
category: "Research"
topics: ["research"]
source_urls: ["https://arxiv.org/abs/2610.26888"]
summary: "MoPE-LoRA is a parameter-efficient adaptation framework for accented English speech recognition that uses a fixed set of six low-rank experts aligned with phonetic categories, achieving a 12.3% relative improvement over single LoRA in zero-shot evaluation on L2-ARCTIC."
---

# Mixture of Phonetic Experts Based Low\-Rank Adaptation of Conformer Models for Accented English Speech Recognition

> [Open the canonical story](<https://aidr.today/73a15035?lang=en>)

**Published:** 2026-10-21T04:00:00.000Z
**Category:** Research
**Topics:** research

## Summary

MoPE\-LoRA is a parameter\-efficient adaptation framework for accented English speech recognition that uses a fixed set of six low\-rank experts aligned with phonetic categories, achieving a 12\.3% relative improvement over single LoRA in zero\-shot evaluation on L2\-ARCTIC\.

## Sources

- [Story source](<https://arxiv.org/abs/2610.26888>)