Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models

Imported from official source

AI Classified by Officially

Code-switching (CS), the alternation between languages within an utterance, is common in multilingual speech but underrepresented in pretraining corpora. Increasing CS coverage requires finding relevant utterances in large speech collections so that they can be included in training data. …

This is an extract. The publication continues at the source.

Read the original at the source: https://machinelearning.apple.com/research/code-switching-detection

Officially imported this from Apple Machine Learning Research’s own source and shows an extract. If you work there, claiming the profile and verifying the domain lets you choose to show the full text here.

Provenance

Organization
Apple Machine Learning Research — imported from official source
Official source
https://machinelearning.apple.com/rss.xml RSS
Imported
October 14, 2026 17:01
Versions
1 recorded
Identity
code-switching-detection

Officially records where a publication came from, not whether it is true. Imported records are reproduced from an organization's own official source.