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stt_ca_conformer_transducer_large

Automatic Speech Recognition
NeMo
PyTorch
Catalan
speech
audio
Transducer
Conformer
Transformer
NeMo
hf-asr-leaderboard
Eval Results
Model card Files Community
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- | [![Model architecture](https://img.shields.io/badge/Model_Arch-Conformer--CTC-lightgrey#model-badge)](#model-architecture)
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  | [![Model size](https://img.shields.io/badge/Params-120M-lightgrey#model-badge)](#model-architecture)
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  | [![Language](https://img.shields.io/badge/Language-ca-lightgrey#model-badge)](#datasets)
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- | [![Riva Compatible](https://img.shields.io/badge/NVIDIA%20Riva-compatible-brightgreen#model-badge)](#deployment-with-nvidia-riva) |
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  This model transcribes speech into lowercase Catalan alphabet including spaces, dashes and apostrophes, and is trained on around 1023 hours of Catalan speech data.
 
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+ | [![Model architecture](https://img.shields.io/badge/Model_Arch-Conformer--Transducer-lightgrey#model-badge)](#model-architecture)
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  | [![Model size](https://img.shields.io/badge/Params-120M-lightgrey#model-badge)](#model-architecture)
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  | [![Language](https://img.shields.io/badge/Language-ca-lightgrey#model-badge)](#datasets)
 
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  This model transcribes speech into lowercase Catalan alphabet including spaces, dashes and apostrophes, and is trained on around 1023 hours of Catalan speech data.