Model: nvidia/nemotron-speech-streaming-en-0.6b
Author: nvidia
Pipeline: automatic-speech-recognition
Library: nemo
Tags: nemo, speech-recognition, cache-aware ASR, automatic-speech-recognition, streaming-asr, speech, audio, FastConformer, RNNT, Parakeet, ASR, pytorch, NeMo, dataset:nvidia/Granary, dataset:YTC, dataset:Yodas2, dataset:LibriLight, 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, dataset:europarl, dataset:multilingual_librispeech, dataset:fleurs, dataset:mozilla-foundation/common_voice_8_0, dataset:MLCommons/peoples_speech, dataset:google/speech_commands, arxiv:2312.17279, arxiv:2305.05084, license:other, model-index, region:us
Card metadata: license: other
license_name: nvidia-open-model-license
license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
library_name: nemo
datasets: nvidia/Granary, YTC, Yodas2, LibriLight, librispeech_asr, fisher_corpus, Switchboard-1, WSJ-0, WSJ-1, National-Singapore-Corpus-Part-1, National-Singapore-Corpus-Part-6, vctk, voxpopuli, europarl, multilingual_librispeech, fleurs, mozilla-foundation/common_voice_8_0, MLCommons/peoples_speech, google/speech_commands
tags: speech-recognition, cache-aware ASR, automatic-speech-recognition, streaming-asr, speech, audio, FastConformer, RNNT, Parakeet, ASR, pytorch, NeMo
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: nemotron-speech-streaming-en-0.6b
results: task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: AMI
type: ami
config: ihm
split: test
metrics: name: WER (1.12s frame size)
type: wer
value: 11.58
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: Earnings22
type: earnings22
split: test
metrics: name: WER (1.12s frame size)
type: wer
value: 12.48
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: Gigaspeech
type: gigaspeech
split: test
metrics: name: WER (1.12s frame size)
type: wer
value: 11.45
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: LibriSpeech test-clean
type: librispeech_asr
config: clean
split: test
metrics: name: WER (1.12s frame size)
type: wer
value: 2.31
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: LibriSpeech test-other
type: librispeech_asr
config: other
split: test
metrics: name: WER (1.12s frame size)
type: wer
value: 4.75
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: SPGI Speech
type: spgispeech
split: test
metrics: name: WER (1.12s frame size)
type: wer
value: 2.62
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: TEDLIUM
type: tedlium
split: test
metrics: name: WER (1.12s frame size)
type: wer
value: 4.5
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: VoxPopuli
type: voxpopuli
config: en
split: test
metrics: name: WER (1.12s frame size)
type: wer
value: 7.57
verified: no
metrics: wer
pipeline_tag: automatic-speech-recognition
Likes: 20 | All-time downloads: 32
Created: 2025-12-17 01:07:38