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Displaying 12 results
NVIDIA
NVIDIA
STT Multilingual FastConformer Hybrid Transducer-CTC Large P&C
The large version (114M) of the Multilingual speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 2560 and emits text with punctuation and capitalization.
Model
NVIDIA
NVIDIA
Riva ASR German LM
Base German 4-gram LM
Model
NVIDIA
NVIDIA
TTS De FastPitch HiFi-GAN
This collection contains two models: 1) FastPitch (around 50M parameters) trained on OpenSLR neutral German dataset with over 23 hours of German speech and 1 speaker. 2) HiFi-GAN trained on mel spectrograms produced by the FastPitch model in (1).
Model
NVIDIA
NVIDIA
RIVA Citrinet ASR German
German Citrinet ASR model trained on RIVA ASR set
Model
NVIDIA
NVIDIA
STT European FastConformer Hybrid Transducer-CTC Large P&C
English / Spanish / French / German speech recognition model with a FastConformer large (114M) encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 2560 and emits text with punctuation and capitalization.
Model
NVIDIA
NVIDIA
Riva ASR German LM
Base German 4-gram LM
Model
NVIDIA
NVIDIA
RIVA Citrinet ASR German
German Citrinet ASR model trained on ASR set 2.0
Model
NVIDIA
NVIDIA
SpeechLLM FastConformer Llama2-7B
A 7B SpeechLLM model trained on speech-to-text recognition (ASR), speech-to-text translation (AST) and audio/speech question answering (SpeechQA, AudioQA) data.
Model
NVIDIA
NVIDIA
RIVA Conformer ASR German
German Conformer ASR model trained on ASR set 2.0
Model
NVIDIA
NVIDIA
RIVA Punctuation and Capitalization for German
For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
Model
NVIDIA
NVIDIA
RIVA Punctuation and Capitalization for German
For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
Model
NVIDIA
NVIDIA
NemoCurator Multilingual Domain Classifier
A text classification model to classify documents into one of 26 domain classes across 52 languages.
Model