| --- |
| license: cc-by-4.0 |
| task_categories: |
| - audio-classification |
| - text-to-speech |
| language: |
| - en |
| - hi |
| - te |
| - ta |
| size_categories: |
| - 1K<n<10K |
| tags: |
| - speaker-encoding |
| - cross-lingual |
| - code-switching |
| - indic |
| - synthetic |
| --- |
| |
| # 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) |
|
|
| ```json |
| { |
| "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](https://elevenlabs.io) 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. |
|
|
