PersonaMix / README.md
RakhatM's picture
Anonymized release
ba2e581
|
Raw
History Blame Contribute Delete
2.39 kB
---
license: cc-by-4.0
language: [kk, en]
task_categories: [automatic-speech-recognition]
tags: [target-speaker-asr, bilingual, kazakh, english, overlapping-speech, enrollment]
pretty_name: PersonaMix
size_categories: [10K<n<100K]
---
# PersonaMix
Controlled bilingual (Kazakh–English) benchmark for **target-speaker ASR** and **target-presence detection** on overlapping speech, released with [Persona-ASR](https://github.com/IS2AI/Persona_ASR).
Four speakers (two female, two male) each read 11 scripted sentences in **both Kazakh and English**. Mixtures span **1–3 interfering speakers** and SNRs of **−3, 0, +3, +6 dB**, under **same-language** (A) and **cross-language** (B) enrollment; the cross-language condition enrolls a speaker in one language and transcribes them in the other.
## Structure
- `mixtures/` — overlapping-speech mixtures by condition:
- `A_samelang_{1,2,3}int/` — same-language enrollment, 1–3 interferers
- `B_crosslang_{1,2,3}int/` — cross-language enrollment, 1–3 interferers
- `experiment_jsons/` — evaluation manifests per condition and SNR:
- `*_asr.json` — target-speaker ASR (positive trials, with target transcript)
- `*_cls.json` — target-presence detection (positive + negative trials)
- `all_snr{-3,0,3,6}dB.json` — pooled manifests per SNR
- `ASR_88/` and `ASR_88 - {F1,F2,M1,M2}.csv` — the 88 source recordings (4 speakers × 11 sentences × 2 languages) and per-speaker scripts.
## Manifest fields (`experiment_jsons/*.json`)
| Field | Description |
|---|---|
| `mixture_audio` | Overlapping mixture |
| `enrollment_audio` | Target-speaker enrollment utterance |
| `transcript` | Target reference transcript |
| `sample_type` | positive / negative (target present / absent) |
| `target_speaker` | Target speaker id (F1, F2, M1, M2) |
| `enrollment_lang`, `mixture_lang` | Enrollment vs. mixture language (equal = same-lang, differ = cross-lang) |
| `snr_db` | Target-to-interferer SNR |
| `enrollment_sentence`, `target_sentence`, `interferers` | Content and interference metadata |
## Speakers
Four speakers, anonymized as F1 and F2 (female) and M1 and M2 (male).
## License and citation
Released under CC BY 4.0. Please cite Persona-ASR.
```bibtex
@article{persona_asr,
title = {Persona-ASR: Bilingual Target-Speaker Speech Recognition for Kazakh--English Overlapping Speech},
year = {2026}
}
```