Mayhem Catalog Nvidia Parakeet Tdt 0 6b v3 Transformers

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license: cc-by-4.0 track_downloads: true language:

• en
• es
• fr
• de
• bg
• hr
• cs
• da
• nl
• et
• fi
• el
• hu
• it
• lv
• lt
• mt
• pl
• pt
• ro
• sk
• sl
• sv
• ru
• uk pipeline_tag: automatic-speech-recognition library_name: transformers datasets:
• nvidia/Granary
• nemo/asr-set-3.0 tags:
• automatic-speech-recognition
• speech
• audio
• Transducer
• Transformer
• TDT
• FastConformer
• Conformer
• pytorch
• NeMo
• hf-asr-leaderboard
• Transformers widget:
• example_title: Librispeech sample 1 src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
• example_title: Librispeech sample 2 src: https://cdn-media.huggingface.co/speech_samples/sample2.flac metrics:
• wer model-index:
• name: parakeet-tdt-0.6b-v3 results:
  • task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: AMI (Meetings test) type: edinburghcstr/ami config: ihm split: test args: language: en metrics:
    • type: wer value: 11.31 name: Test WER
  • task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: Earnings-22 type: revdotcom/earnings22 split: test args: language: en metrics:
    • type: wer value: 11.42 name: Test WER
  • task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: GigaSpeech type: speechcolab/gigaspeech split: test args: language: en metrics:
    • type: wer value: 9.59 name: Test WER
  • task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: LibriSpeech (clean) type: librispeech_asr config: other split: test args: language: en metrics:
    • type: wer value: 1.93 name: Test WER
    • type: wer value: 3.59 name: Test WER
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: SPGI Speech type: kensho/spgispeech config: test split: test args: language: en metrics:
    • type: wer value: 3.97 name: Test WER
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: tedlium-v3 type: LIUM/tedlium config: release1 split: test args: language: en metrics:
    • type: wer value: 2.75 name: Test WER
  • task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: Vox Populi type: facebook/voxpopuli config: en split: test args: language: en metrics:
    • type: wer value: 6.14 name: Test WER
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: bg_bg split: test args: language: bg metrics:
    • type: wer value: 12.64 name: Test WER (Bg)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: cs_cz split: test args: language: cs metrics:
    • type: wer value: 11.01 name: Test WER (Cs)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: da_dk split: test args: language: da metrics:
    • type: wer value: 18.41 name: Test WER (Da)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: de_de split: test args: language: de metrics:
    • type: wer value: 5.04 name: Test WER (De)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: el_gr split: test args: language: el metrics:
    • type: wer value: 20.7 name: Test WER (El)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: en_us split: test args: language: en metrics:
    • type: wer value: 4.85 name: Test WER (En)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: es_419 split: test args: language: es metrics:
    • type: wer value: 3.45 name: Test WER (Es)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: et_ee split: test args: language: et metrics:
    • type: wer value: 17.73 name: Test WER (Et)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: fi_fi split: test args: language: fi metrics:
    • type: wer value: 13.21 name: Test WER (Fi)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: fr_fr split: test args: language: fr metrics:
    • type: wer value: 5.15 name: Test WER (Fr)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: hr_hr split: test args: language: hr metrics:
    • type: wer value: 12.46 name: Test WER (Hr)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: hu_hu split: test args: language: hu metrics:
    • type: wer value: 15.72 name: Test WER (Hu)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: it_it split: test args: language: it metrics:
    • type: wer value: 3 name: Test WER (It)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: lt_lt split: test args: language: lt metrics:
    • type: wer value: 20.35 name: Test WER (Lt)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: lv_lv split: test args: language: lv metrics:
    • type: wer value: 22.84 name: Test WER (Lv)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: mt_mt split: test args: language: mt metrics:
    • type: wer value: 20.46 name: Test WER (Mt)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: nl_nl split: test args: language: nl metrics:
    • type: wer value: 7.48 name: Test WER (Nl)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: pl_pl split: test args: language: pl metrics:
    • type: wer value: 7.31 name: Test WER (Pl)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: pt_br split: test args: language: pt metrics:
    • type: wer value: 4.76 name: Test WER (Pt)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: ro_ro split: test args: language: ro metrics:
    • type: wer value: 12.44 name: Test WER (Ro)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: ru_ru split: test args: language: ru metrics:
    • type: wer value: 5.51 name: Test WER (Ru)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: sk_sk split: test args: language: sk metrics:
    • type: wer value: 8.82 name: Test WER (Sk)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: sl_si split: test args: language: sl metrics:
    • type: wer value: 24.03 name: Test WER (Sl)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: sv_se split: test args: language: sv metrics:
    • type: wer value: 15.08 name: Test WER (Sv)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: FLEURS type: google/fleurs config: uk_ua split: test args: language: uk metrics:
    • type: wer value: 6.79 name: Test WER (Uk)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: Multilingual LibriSpeech type: facebook/multilingual_librispeech config: spanish split: test args: language: es metrics:
    • type: wer value: 4.39 name: Test WER (Es)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: Multilingual LibriSpeech type: facebook/multilingual_librispeech config: french split: test args: language: fr metrics:
    • type: wer value: 4.97 name: Test WER (Fr)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: Multilingual LibriSpeech type: facebook/multilingual_librispeech config: italian split: test args: language: it metrics:
    • type: wer value: 10.08 name: Test WER (It)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: Multilingual LibriSpeech type: facebook/multilingual_librispeech config: dutch split: test args: language: nl metrics:
    • type: wer value: 12.78 name: Test WER (Nl)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition dataset: name: Multilingual LibriSpeech type: facebook/multilingual_librispeech config: polish split: test args: language: pl metrics:
    • type: wer value: 7.28 name: Test WER (Pl)
  • task: type: Automatic Speech Recognition name: automatic-speech-recognition...