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NeMo supports a large collection of models such as Jasper, QuartzNet, Citrinet and Conformer-CTC in order to perform automatic speech recognition. Visit NeMo ...

Using an Out-of-the-Box Model. NeMo's ASR collection comes with many building blocks and even complete models that we can use for training and evaluation.

Setup training data from config: text-only, audio-text or mixed data. class nemo.collections.asr.models.confidence_ensemble.ConfidenceEnsembleModel(*args ...

Pretrained models available in 14+ languages; Automatic Speech Recognition (ASR). Supported ASR models: Jasper, QuartzNet, CitriNet, ContextNet; Conformer-CTC ...

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech ...

All the models in this collection are trained on a composite dataset (NeMo ASRSET) comprising of 487 hours of Italian speech: Mozilla Common Voice 11.0 (Italian) ...

All the models in this collection are trained on a composite dataset (NeMo ASRSET) comprising of several thousand hours of English speech: Librispeech 960 hours ...

2022年8月25日 — ... models. NeMo has separate collections for Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Text-to-Speech (TTS) models ...

NeMo ASR Collection: Neural Modules for Automatic Speech Recognition. Models. The NeMo ASR collection currently has modules for building.

NeMo has separate collections for Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Text-to-Speech (TTS) models. Each collection ...