Model: wenqiglantz/stt_en_conformer_ctc_small
Author: wenqiglantz
Pipeline: automatic-speech-recognition
Library: nemo
Tags: nemo, automatic-speech-recognition, speech, audio, CTC, Conformer, Transformer, NeMo, pytorch, en, dataset:librispeech_asr, dataset:mozilla-foundation/common_voice_7_0, dataset:vctk, dataset:fisher_corpus, dataset:Switchboard-1, dataset:WSJ-0, dataset:WSJ-1, dataset:National-Singapore-Corpus-Part-1, dataset:National-Singapore-Corpus-Part-6, dataset:voxpopuli, dataset:europarl, dataset:multilingual_librispeech, license:cc-by-4.0, model-index, region:us
Card metadata: language: en
license: cc-by-4.0
library_name: nemo
tags: automatic-speech-recognition, speech, audio, CTC, Conformer, Transformer, NeMo, pytorch
datasets: librispeech_asr, mozilla-foundation/common_voice_7_0, vctk, fisher_corpus, Switchboard-1, WSJ-0, WSJ-1, National-Singapore-Corpus-Part-1, National-Singapore-Corpus-Part-6, voxpopuli, europarl, multilingual_librispeech
model-index: name: stt_en_conformer_ctc_small
results: task: type: automatic-speech-recognition
dataset: name: Librispeech (clean)
type: librispeech_asr
config: other
split: test
args: language: en
metrics: type: wer
value: 8.1
name: WER
verified: no
Likes: 0 | All-time downloads: 216
Created: 2023-12-28 17:04:36