AI Models - Computer Vision, Conversational AI, and More

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Many AI applications have common needs: classification, object detection, language translation, text-to-speech, recommender engines, sentiment analysis, and more. When developing applications with these capabilities, it is much faster to start with a model that is pre-trained and then tune it for a specific use case. The NGC catalog offers pre-trained models for a variety of common AI tasks that are optimized for NVIDIA Tensor Core GPUs, and can be easily re-trained by updating just a few layers, saving valuable time.

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RIVA Conformer ASR Mandarin

Model

Mandarin (zh-CN) Conformer ASR model trained on ASR set 2.0

RIVA Conformer ASR Russian - ASR set 1.0

Model

Rusian Conformer ASR model trained on ASR set 1.0

TTS En Multispeaker FastPitch HiFiGAN

Model

This collection contains two models: 1) Multi-speaker FastPitch (around 50M parameters) trained on HiFiTTS with over 291.6 hours of english speech and 10 speakers. 2) HiFiGAN trained on mel spectrograms produced by the Multi-speaker FastPitch in (1).

TTS En RAD-TTS Aligner

Model

RAD-TTS Aligner model trained on female English speech.

STT Hr Conformer-CTC Large

Model

Conformer-CTC-Large model for Croatian automatic speech recognition, trained on ParlaSpeech-HR v1.0 dataset.

STT Hr Conformer-Transducer Large

Model

Conformer-Transducer-Large model for Croatian automatic speech recognition, trained on ParlaSpeech-HR v1.0 dataset.

RIVA Conformer ASR English - ASR set 3.0

Model

English Conformer ASR model trained on ASR set 3.0

RIVA Conformer ASR French

Model

French (fr-FR) Conformer ASR model trained on ASR set 2.0

RIVA Conformer ASR English

Model

English (en-GB) Conformer ASR model trained on ASR set 1.0

STT En Es Multilingual Code-Switched Conformer Transducer Large

Model

English + Spanish Multilingual and Code-Switched Speech Recognition Conformer Transducer Large Model

STT Ca Conformer-Transducer Large

Model

Conformer-Transducer-Large model for Catalan automatic speech recognition, Trained on MCV-9.0 dataset.

STT Ca Conformer-CTC Large

Model

Conformer-CTC-Large model for Catalan automatic speech recognition, trained on MCV 9.0 dataset.

STT Rw Conformer-CTC Large

Model

Conformer-CTC-Large model for Kinyarwanda Automatic Speech Recognition, trained on Mozilla Common Voice 9.0 Kinyarwanda dataset.

STT Rw Conformer-Transducer Large

Model

Conformer-Transducer-Large model for Kinyarwanda Automatic Speech Recognition, trained on Mozilla Common Voice 9.0 Kinyarwanda dataset.

RIVA Punctuation and Capitalization for French

Model

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, hyphens and question marks) and 2) predicts if the word should be capitalized or not.

RIVA Punctuation and Capitalization for Hindi

Model

For each word in the input text, the model predicts a punctuation mark that should follow the word (if any), the model supports commas, poornvirams, exclaimation marks and question marks.

Russian Tagger-based Inverse Text Normalization

Model

Russian single-pass tagger-based model for inverse text normalization based on BERT encoder, trained on 2 mln sentences from Google Text Normalization Dataset, achieves 3.55% WER on Google default test set

Riva ASR Hindi LM

Model

Base Hindi 3-gram LM

RIVA Citrinet ASR Hindi (hi-IN) - ASR set 1.0

Model

Hindi Citrinet ASR model trained on ASR set 1.0

RIVA Conformer ASR Hindi - ASR set 2.0

Model

Hindi Conformer ASR model trained on ASR set 2.0

Riva ASR French LM

Model

Base French 4-gram LM

Riva ASR English(en-GB) LM

Model

Base English 3-gram LM

Riva ASR Mandarin LM

Model

Base Mandarin 4-gram LM

Riva ASR English(en-US) LM

ModelQuick Deploy

Base English n-gram LM trained on LibriSpeech, Switchboard and Fisher

STT Hi Conformer-CTC Large

Model

Conformer-CTC-Large model for Hinglish Automatic Speech Recognition, trained on ULCA & Europal dataset.