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Dataset · Hugging Face

PatientdeskAI/freya-tr-eval-rerun

Freya-TR-Eval, re-run Scripts and per-sentence results from our re-run of Freya-TR-Eval on Turkish text-to-speech systems, with one harness and the protocol published with EMA Lightning: all 495 sentences, three takes per system, an 8 kHz band, faster-whisper large-v3 at beam 5, and EMA's score_norm. Speed was measured on one NVIDIA L4 per system. Charts, leaderboard and audio samples: https://speech.patientdesk.ai/en/benchmarks (Turkish:… See the full description on the dataset page: https://huggingface.co/datasets/PatientdeskAI/freya-tr-eval-rerun.

Author / organizationPatientdeskAI
License (as declared)apache-2.0
Downloads180 (as reported by Hugging Face)
Likes0
Created7 October 2026
Last updated at source12 October 2026
ttsturkishbenchmarkfreya-tr-eval
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