Datasets:
audio audioduration (s) 1.36 18.6 | label class label 8
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Codeswitch Pairs LASE — Indian-accent held-out corpus
1369 held-out cross-script utterance pairs from 8 ElevenLabs Indian-English Multilingual voices. Surfaces the accent-conditional finding: off-the-shelf encoders cluster Indian-accent voices closely regardless of script, while Western voices show large script-conditional gaps.
Each row is one synthesized utterance with metadata; pairs are reconstructed at evaluation time by joining on voice_id (same voice, different script = cross-script pair).
Schema (manifest.jsonl)
{
"voice_id": "21m00Tcm4TlvDq8ikWAM",
"lang": "en | hi | te | ta",
"text": "the prompt text",
"wav_path": "<voice_name>/<lang>_NNN.wav",
"quality": {"cosine": 0.97, "utmos": 4.6}
}
Audio is 16 kHz mono WAV, ~2 s/utterance.
Stats
- Pairs: 1369
- Voices: 8
- Languages: en, hi, te, ta
- Quality gate: WavLM-cosine ≥ 0.90 vs the voice's reference clip
Provenance
Synthesized using the ElevenLabs Multilingual v2 API. Voice IDs are public ElevenLabs catalog voices used under their TOS for research/evaluation purposes. Text prompts are short generic English phrases translated/transliterated into each target script.
Companion paper
LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation (arXiv:TBD)
License
CC-BY-4.0.
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