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Displaying 18 results

Domain Specific NeMo ASR Application
NVIDIA
The Domain Specific - NeMo Automatic Speech Recognition (ASR) Application facilitates training, evaluation and performance comparison of ASR models. This NeMo application enables you to train or fine-tune pre-trained ASR models with your own data.
Container
MK-SQuIT
MeetKai Inc.
SQuIT (Synthesizing Questions using Iterative Template-Filling) is a generated dataset produced with little human intervention. This container provides several tutorial applications - an interactive dataset explorer, a walkthrough of the generation pipeline, and a demonstration using NeMo to fine tune and evaluate a model on the dataset.
Container
Audio Codec 16kHz Small
NVIDIA
This model card contains a Small Audio Codec model trained on the Libri-Light audiobook recordings dataset, comprising approximately 60,000 hours of English language speech with a 16kHz sampling rate.
Model
LangID PearlNet
NVIDIA
PearlNet Lang ID model for Spoken Language Identification
Model
TitaNet-S
NVIDIA
TitaNet Small model for Speaker Verification and Diarization tasks
Model
STT En Fast Conformer-CTC Large
NVIDIA
Fast Conformer-CTC-Large model for English Automatic Speech Recognition, Trained on NeMo ASRSET
Model
Parakeet-TDT_CTC-110M
NVIDIA
Large size version of hybrid Fast Conformer TDT-CTC 114M parameter model trained on larger dataset of 36000 hrs with Punctuation and Capitalization. This model is jointly developed by NVIDIA NeMo and Suno.ai teams.
Model
STT En FastConformer Hybrid Transducer-CTC Large P&C
NVIDIA
This collection contains the large version (114M) of the English speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
Model
STT En Zh Multilingual Code-Switched FastConformer Transducer L
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English + Mandarin Multilingual and Code-Switched Speech Recognition FastConformer Transducer Large Model
Model
STT En Fast Conformer-Transducer Large
NVIDIA
Fast Conformer-Transducer-Large model for English Automatic Speech Recognition, Trained on NeMo ASRSET
Model
STT Fa FastConformer Hybrid Transducer-CTC Large
NVIDIA
This collection contains the large version (114M) of the Persian speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024.
Model
TTS En FastPitch SpectrogramEnhancer For-ASR-Finetuning
NVIDIA
This collection contains FastPitch and Spectrogram Enhancer models. Main use case is English ASR domain fine-tuning. Direct TTS use is not advised.
Model
STT En Fast Conformer-Transducer XXLarge
NVIDIA
Fast Conformer-Transducer-XXLarge model for English Automatic Speech Recognition, trained on NeMo ASRSET 3.0
Model
STT En Fast Conformer-CTC XLarge
NVIDIA
Fast Conformer-CTC-XLarge model for English Automatic Speech Recognition, Trained on NeMo ASRSET
Model
STT En Fast Conformer-Transducer Large LibriSpeech
NVIDIA
Fast Conformer-Transducer-Large model for English Automatic Speech Recognition, Trained with NeMo on LibriSpeech dataset
Model
STT En Fast Conformer-Transducer XLarge
NVIDIA
Fast Conformer-Transducer-Large model for English Automatic Speech Recognition, Trained on NeMo ASRSET 3.0
Model
STT En Fast Conformer-CTC XXLarge
NVIDIA
Fast Conformer-CTC-XXLarge model for English Automatic Speech Recognition, Pre-trained on LibriLight and fine-tuned on NeMo ASRSET 3.0
Model
ESM-2nv 8M
NVIDIA
An 8 million parameter BERT model fully pre-trained with BioNeMo
Model
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