neurlang/ipa-whipstr-medium-48khz-cv-21
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Neurlang Whipstr STT (ASR)
A deep learning automatic speech recognition (ASR) system for transcribing speech audio into IPA text using transformer-based sequence-to-sequence models.
- Language: Universal (IPA), 74+ languages
- Model Github: neurlang/whipstr https://github.com/neurlang/whipstr
- Model Dataset: Common Voice 21
- Model-Native Sample Rates: 8000 Hz, 16000 Hz, 24000 Hz, 32000 Hz, 48000 Hz
- Degraded-Performance Sample Rates: 11025 Hz, 22050 Hz, 44100 Hz
- License: GPL v2
- Release: 2026-07-09
- Size: 642 MB
- Total parameters:
- Encoder: 7 237 024
- Transformer: 44 499 744
- Total: 51 736 768
- CER: 33.88% (66.12% success rate)
- Note: Averaged across all supported languages, works better on higher resource languages
- WER: 73.00% (27% success rate)
- Note: Averaged across all supported languages, works better on higher resource languages
- Training Details:
- Hardware: Nvidia Spark
- Batch size: 1
- Samples: 1185000
- Duration: 2:03:23:00
- Runs: Jul 7 07:43 - Jul 9 11:06 (shut down at Jul 9 12:55)
Inference code
git clone https://github.com/neurlang/whipstr.git
cd whipstr/
uv run --with torch --with transformers --with phase-spectrogram stt_infer_hf.py --audio /home/m/Downloads/LJ001-0001.wav --model neurlang/ipa-whipstr-medium-48khz-cv-21Inference code (microphone)
uv run --with torch --with transformers --with phase-spectrogram --with sounddevice stt_mic_hf.py --model neurlang/ipa-whipstr-medium-48khz-cv-21Output:
config.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 368/368 [00:00<00:00, 2.09MB/s]
model.safetensors: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 227M/227M [00:07<00:00, 29.4MB/s]
Loading weights: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 199/199 [00:00<00:00, 16263.01it/s]
model.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3.84k/3.84k [00:00<00:00, 12.3MB/s]
Transcription: ˈɪt gˈɪt sˈʌbkəldz dˈɑɹk fˈeɪz fˈæst ðə ɹˌɛpətˈɪʃən luːp nˈoʊ ˈiːvəz bɪˈheɪvjə ɹisˈɑlɪks lˈaɪk ðə mˈɑdəl hˈæd lˈɚnd bˈeɪsɪks ˈæktɪs....Explanaition
End of training data:
Step 1185000 is chosen as this release