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Displaying 15 results

TTS Es Multispeaker FastPitch HiFiGAN
NVIDIA
This collection contains two models. 1) Multi-speaker 44100Hz FastPitch trained on approximately 20 hours of Latin American Spanish speech from 174 speakers. 2) HiFiGAN trained on mel spectrograms produced by the Multi-speaker FastPitch in (1).
Model
STT Multilingual FastConformer Hybrid Transducer-CTC Large P&C
NVIDIA
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
RIVA Conformer ASR Spanish - ASR set 3.0
NVIDIA
Spanish Conformer ASR model trained on ASR set 3.0
Model
RIVA Citrinet ASR Spanish
NVIDIA
Spanish Citrinet ASR model trained on ASR set 2.0
Model
RIVA Conformer ASR Spanish EMEA
NVIDIA
Spanish EMEA Conformer ASR model trained on RIVA ASR set
Model
STT European FastConformer Hybrid Transducer-CTC Large P&C
NVIDIA
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
STT Es FastConformer Hybrid Transducer-CTC Large P&C
NVIDIA
This collection contains the large version (114M) of the Spanish 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
RIVA Citrinet ASR Spanish LATAM
NVIDIA
Spanish LATAM Citrinet ASR model trained on RIVA ASR set
Model
Riva ASR Spanish LM
NVIDIA
Base Spanish 4-gram LM
Model
RIVA Citrinet ASR Spanish EMEA
NVIDIA
Spanish EMEA Citrinet ASR model trained on RIVA ASR set
Model
RIVA ASR Spanish LATAM LM
NVIDIA
Base Spanish LATAM n-gram LM
Model
RIVA Punctuation and Capitalization for Spanish
NVIDIA
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
RIVA Punctuation and Capitalization for Spanish
NVIDIA
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
NemoCurator Multilingual Domain Classifier
NVIDIA
A text classification model to classify documents into one of 26 domain classes across 52 languages.
Model
RIVA ASR Spanish EMEA LM
NVIDIA
Base Spanish EMEA n-gram LM
Model
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