README.md

metadata

title: TEA-ASR Taiwan Mandarin
emoji: 🍵
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
python_version: 3.12.12
pinned: false
short_description: 'Taiwan-Mandarin ASR: Traditional + zh-en code-switch'
models:
  - JacobLinCool/TEA-ASR-1.1
  - JacobLinCool/TEA-ASR-1.1-mini
  - JacobLinCool/TEA-ASR-1.1-fmt
  - JacobLinCool/TEA-ASR-1.1-mini-fmt

TEA-ASR — Taiwan Mandarin ASR 🍵

Demo for TEA-ASR (Taiwan Everyday Audio): Traditional-script + Taiwanese-lexicon ASR with robust Mandarin–English code-switch, adapted from Qwen3-ASR with a tokenizer-first procedure. No runtime post-processing — the Traditional/Taiwan decode is baked into the model's own fast tokenizer.

• Models: TEA-ASR-1.1 (2B flagship, default) and TEA-ASR-1.1-mini (780M) for the best recognition, plus the format-controllable TEA-ASR-1.1-fmt / TEA-ASR-1.1-mini-fmt — all public, no token needed.
• Hardware: ZeroGPU (@spaces.GPU).
• Set the language hint to Chinese for Taiwan speech (best results).
• Format tags (-fmt models only): pick a numeral style (Arabic 123 / Chinese 一二三) to render the same audio in that convention — a verified flip control, strongest on multi-digit numbers — and tick Keep English to bias code-switch English toward verbatim transcription. These teacher-force a decoder-prefix convention tag; the main-line models ignore them. For heavy code-switch use the main line (best CSZS/ASCEND); for formatting-sensitive Mandarin-dominant audio use -fmt (see model cards for the measured trade-off).