CoolFace
Modelpublic

KasuleTrevor/qwen3-asr-en-atypical-promptless-specaug-decoder

sourceHugging Faceupdated 1mo agoView on Hugging Face
0likes10downloads
Model Card

Qwen3-ASR Atypical English — Decoder Adaptation + SpecAugment

This repository contains the validation-selected decoder checkpoint from the promptless Qwen3-ASR atypical-English architectural ablation.

Experiment

  • —Base model: Qwen/Qwen3-ASR-1.7B
  • —Dataset: cdli/ugandan_english_nonstandard_speech_v1.0
  • —Condition: decoder
  • —Prompt: none
  • —SpecAugment: enabled, train-only
  • —LR: 5e-05
  • —Scheduler: cosine
  • —Seed: 42
  • —Batch / grad accumulation: 4 / 4
  • —Effective batch: 16

SpecAugment

SettingValue
Probability0.5
Time masks2
Time width40
Frequency masks2
Frequency width12

Trainable parameters

MetricValue
Total2,038,052,480
Trainable1,720,574,976
Trainable %84.4225%

Validation checkpoint selection

Selection was performed on the validation split only using mean normalized per-utterance WER/CER capped at 1.0.

MetricValue
Selected checkpointcheckpoint-1250
Mean capped WER33.38%
Mean capped CER23.95%
Corpus WER32.42%
Corpus CER22.25%

Final test results

Primary reporting uses normalized per-utterance WER/CER, capped at 1.0 per utterance and then averaged. Normalized corpus metrics are retained as secondary diagnostics.

MetricResult
Mean capped utterance WER22.46%
Mean capped utterance CER14.25%
Normalized corpus WER23.81%
Normalized corpus CER14.84%
Relative primary WER reduction vs base32.84%

Results by severity

GroupnSpeakersMean capped WERMean capped CERCorpus WERCorpus CER
Mild (easily understood with minimal effort)334319.61%11.74%22.81%13.25%
Moderate (requires effort to understand)340323.15%14.06%22.46%13.65%
Severe (frequent breakdowns)339324.57%16.92%26.11%17.76%

Results by disorder

GroupnSpeakersMean capped WERMean capped CERCorpus WERCorpus CER
Articulation Disorders176221.59%11.97%23.10%12.73%
Dysarthria253223.70%14.64%23.76%14.63%
Stuttering (Disfluency Disorders)488420.12%13.18%20.78%13.47%
Voice disorder96132.67%22.86%35.01%24.42%

Reproducibility

The exact corrected trainer is archived in this repository under:

code/qwen3_asr_sft_fixed_ablation.py

The companion private results repository is:

KasuleTrevor/qwen3-asr-en-atypical-promptless-specaug-results

No raw participant audio is redistributed.