Model: nvidia/stt_en_fastconformer_hybrid_large_streaming_multi
Author: nvidia
Pipeline: automatic-speech-recognition
Library: nemo
Tags: nemo, automatic-speech-recognition, speech, streaming, audio, Transducer, Conformer, CTC, pytorch, NeMo, en, dataset:librispeech_asr, 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:vctk, dataset:VoxPopuli-EN, dataset:Europarl-ASR-EN, dataset:Multilingual-LibriSpeech-2000hours, dataset:mozilla-foundation/common_voice_8_0, dataset:MLCommons/peoples_speech, arxiv:2312.17279, arxiv:2005.08100, arxiv:2305.05084, license:cc-by-4.0, model-index, region:us
Card metadata: language: en
library_name: nemo
datasets: librispeech_asr, fisher_corpus, Switchboard-1, WSJ-0, WSJ-1, National-Singapore-Corpus-Part-1, National-Singapore-Corpus-Part-6, vctk, VoxPopuli-EN, Europarl-ASR-EN, Multilingual-LibriSpeech-2000hours, mozilla-foundation/common_voice_8_0, MLCommons/peoples_speech
tags: automatic-speech-recognition, speech, streaming, audio, Transducer, Conformer, CTC, pytorch, NeMo
license: cc-by-4.0
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
model-index: name: stt_en_fastconformer_hybrid_large_streaming_multi
results: task: type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset: name: LibriSpeech (other)
type: librispeech_asr
config: other
split: test
args: language: en
metrics: name: Test WER
type: wer
value: 5.4
verified: no
Likes: 20 | All-time downloads: 14466
Created: 2023-10-05 18:53:53