PersonaMix

Controlled bilingual (Kazakh–English) benchmark for target-speaker ASR and target-presence detection on overlapping speech, released with 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.

@article{persona_asr,
  title   = {Persona-ASR: Bilingual Target-Speaker Speech Recognition for Kazakh--English Overlapping Speech},
  year    = {2026}
}