---
title: "Code-Switching"
description: "1 posts about Code-Switching, summarised, each linking to the original."
---

# Code-Switching
> 1 posts about Code-Switching, summarised, each linking to the original.

## Articles

### [Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models](https://yomu.fyi/post/code-switching-detection-via-language-selective-dimensions-in-speech-f.md)
- Company: [Apple](https://yomu.fyi/company/apple.md)
- Published: Oct 14, 2026
- Type: Explainer

Code-switching, the alternation between languages in a single utterance, is common in multilingual speech but underrepresented in training corpora for speech models. To address this, a lightweight method detects code-switching directly from speech without requiring multilingual transcriptions. The approach leverages language-selective dimensions in pretrained speech encoders by identifying hidden-state dimensions selective to each language from monolingual recordings and aggregating frame-level activations to predict code-switching. On the CS-FLEURS dataset covering 14 language pairs, the Whisper-small encoder achieves a mean F1 of 0.798, outperforming a CNN baseline (0.776) and a HuBERT linear baseline (0.751). These results show that pretrained speech encoders inherently encode the information necessary for code-switching detection, offering a scalable tool for building more representative multilingual corpora.