Conformer Transducer Languages of Spain Punctuated

This BSC LoS Conformer release adds trained punctuation to multilingual speech recognition.

Model and training

It derives from NVIDIA's Spanish Conformer Transducer Large and uses about 2,700 hours of Catalan, Spanish, Galician and Basque audio. The roughly 120M-parameter checkpoint is distinct from the plain-output LoS model. The published workflow uses NeMo, so its runtime requirements differ from a Transformers Whisper deployment.Conformer Transducer Languages of Spain Punctuated: official model card

Practical use

Practical guidance. Assess whether punctuation reduces editing work without introducing misleading sentence boundaries. Compare the punctuated and plain versions on identical segmented audio. A smaller network can be operationally useful, but that alone does not establish lower end-to-end latency once preprocessing and batching are included.

Specifications & access

Conformer Transducer Languages of Spain Punctuated specifications
DetailValue and conditions
AccessDownloadable
Model identifiersstt_los_conformer_transducer_large_punctuated
LicenseApache License 2.0.Conformer Transducer Languages of Spain Punctuated: official model card
Model sizeApproximately 120 million parameters.Conformer Transducer Languages of Spain Punctuated: official model card

Related models