Model: PraxySante/stt_ca-es_conformer_transducer_large_fine_tuned
Author: PraxySante
Pipeline: automatic-speech-recognition
Library: nemo
Tags: nemo, automatic-speech-recognition, speech, multilingual, es, ca, dataset:facebook/multilingual_librispeech, dataset:Parlament-Parla-v1, dataset:gttsehu/basque_parliament_1, dataset:facebook/voxpopuli, dataset:johnatanebonilla/coser_lv_full, dataset:collectivat/tv3_parla, dataset:mozilla-foundation/common_voice_16_0, model-index, region:eu
Card metadata: datasets: facebook/multilingual_librispeech, Parlament-Parla-v1, gttsehu/basque_parliament_1, facebook/voxpopuli, johnatanebonilla/coser_lv_full, collectivat/tv3_parla, mozilla-foundation/common_voice_16_0
language: es, ca
metrics: wer, cer
tags: automatic-speech-recognition, speech, multilingual, nemo
model-index: name: Mohammed-Alzahrani-ai/stt_ca-es_conformer_transducer_large_fine_tuned
results: task: type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset: type: automatic-speech-recognition
name: Combined (Parlament-Parla-v1, MLS, Voxpopuli, etc.)
metrics: name: WER (Spanish)
type: wer
value: 0.08
verified: no, name: CER (Spanish)
type: cer
value: 0.04
verified: no, name: WER (Catalan)
type: wer
value: 0.1
verified: no, name: CER (Catalan)
type: cer
value: 0.05
verified: no
Likes: 2 | All-time downloads: 148
Created: 2025-06-25 22:00:06