TEA ASR 1.1 Fmt

--- base_model: Qwen/Qwen3-ASR-1.7B license: mit library_name: transformers pipeline_tag: automatic-speech-recognition language: - zh - en tags: - automatic-speech-recognition - taiwan-mandarin - traditional-chinese - code-switching - qwen3-asr - speech --- # TEA-ASR-1.1-fmt · Taiwan Everyday Audio 🍵 (format-controllable) **TEA-ASR-1.1-fmt is the output-convention-controllable variant of [TEA-ASR-1.1](https://huggingface.co/JacobLinCool/TEA-ASR-1.1).** Same drop-in Taiwan-Mandarin ASR — native **Traditional Chinese**, **Taiwan vocabulary**, Mandarin–English code-switch — plus a working **numeral-style dial**: a decoder-prefix format tag that switches the SAME audio between Arabic (`digits` → 108年) and Chinese (`zh-num` → 一百零八年) numeral renderings. **Which one should I use?** - **Formatting-sensitive, Mandarin-dominant work** (subtitles, meeting/agency records, call-center logs that must follow one numeral convention) → **this model**. - **Heavy Mandarin–English code-switching** → use [TEA-ASR-1.1](https://huggingface.co/JacobLinCool/TEA-ASR-1.1), which posts the best code-switch error rates of the family (this variant trades a measured amount of dense-code-switch robustness for the format control — see the table). ## Format control The tag rides the same decoder-prefix channel as the language hint: ```python from qwen_asr import Qwen3ASRModel m = Qwen3ASRModel.from_pretrained("JacobLinCool/TEA-ASR-1.1-fmt") # plain (recommended default): natural convention per domain m.transcribe(audio="utt.wav", language="Chinese") # force a numeral convention via the forced decoder prefix: # language Chinese format digits<asr_text> -> Arabic numerals (108年) # language Chinese format zh-num<asr_text> -> Chinese numerals (一百零八年) # append keep-en to bias embedded English toward verbatim transcription ``` (The public `transcribe(language=...)` API validates the language string, so pass the full prefix through the forced-prefix path — see the [demo Space](https://huggingface.co/spaces/JacobLinCool/TEA-ASR-Demo) source for a 20-line reference implementation.) **Measured control strength** (multi-digit test panels, deterministic first-30 selection; `scripts/probe_numeral_flip.py`): | Panel (audio) | pair flip (both directions honored) | `digits` compliance | `zh-num` compliance | |---|---|---|---| | CommonVoice zh-TW (Chinese-numeral speech) | 0.63 | 0....