Automatic speech recognition model that transcribes speech in lower case Spanish with record-setting accuracy and performance
Conformer-CTC (around 120M parameters) is trained on ASRSet with over 4100 hours of Spanish (es-US) speech. The model transcribes speech in lower case Spanish alphabet along with spaces and apostrophes.
Conformer-CTC model is a non-autoregressive variant of Conformer model for Automatic Speech Recognition which uses CTC loss/decoding instead of Transducer. For more information, refer to the Conformer-CTC Model documentation.
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Architecture Type: Convolutional Neural Network + Transformer
Network Architecture: Conformer Encoder with CTC Decoder
Input Type(s): Audio in Spanish
Input Format(s): Linear PCM 16-bit 1 channel
Output Type(s): Text String in Text String in Spanish
Supported Operating System(s):
Engine: Triton
Test Hardware:
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