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SEAME (Mandarin-English Code-Switching Speech Corpus)

~192 hours of spontaneous Mandarin-English code-switching conversations and interviews from 156 Singaporean and Malaysian speakers on everyday topics.

Recommendation

The de facto benchmark for Mandarin-English code-switching ASR — pick when you need intra-sentence code-switching with realistic Southeast Asian accents. Modest size by modern standards; accent distribution (Singapore/Malaysia) may not transfer to mainland-China Mandarin or US English.

Getting the data

Obtain from the dataset homepage.

Paid LDC distribution (LDC2015S04); 16 kHz FLAC; UTF-8 transcripts with per-token language labels.

Suggested processing

A recommended VoxKitchen pipeline ships in the repository at voxkitchen/templates/pipelines/asr-training-data.yaml — run it with vkit docker run.