▲ 3 r/speechtech
AutoArk-AI/ARK-ASR-3B
https://arxiv.org/abs/2605.28139
ARK-ASR-3B is a multilingual automatic speech recognition model. It achieves current state-of-the-art results on the Hugging Face Open ASR Leaderboard English short-form benchmark, with an average WER of 5.04%
u/nshmyrev — 8 days ago
▲ 6 r/speechtech
ScenA: Reference-Driven Multi-Speaker Audio Scene Generation from In-the-Wild Priors
u/nshmyrev — 12 days ago
▲ 1 r/speechtech
Odyssey 2026 –The Speaker and Language Recognition Workshop– hosted at Instituto Superior Técnico, Lisbon, Portugal, during June 23 – June 26, 2026.
reddit.comu/nshmyrev — 13 days ago
▲ 0 r/speechtech
Sudarshan Kamath from SmallestAI on how structure beats scale
u/nshmyrev — 13 days ago
▲ 6 r/speechtech
GitHub - harrrshall/natscore: Preference-supervised naturalness scorer for modern neural TTS . best way to measure naturalness
github.comu/nshmyrev — 1 month ago
▲ 5 r/speechtech
Mega-ASR: Towards In-the-wild2 Speech Recognition via scaling up real-world acoustic simulation
xzf-thu.github.iou/nshmyrev — 2 months ago
Anyone fine-tuned facebookresearch/omnilingual-asr? Looking for guidance or codebase
Hi everyone,
Has anyone here fine-tuned facebookresearch/omnilingual-asr for a new language or custom dataset?
I’m trying to set up a full fine-tuning pipeline (data prep → training → evaluation), but the official repo doesn’t provide much detail on adapting the model. If you’ve done it before, could you share:
- Your training workflow
- Any scripts/codebase you used
- Tips on dataset formatting
- Hardware requirements
- Any issues you ran into during fine-tuning
Even a GitHub link or minimal training script would help a lot.
Thanks in advance!
u/Outside_Solid5371 — 1 month ago