Model Overview

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.

Model Architecture

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.

Terms of use

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Disclaimer

AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data. Your use is logged for security.

References

• Paper
• Conformer

Model Architecture

Architecture Type: Convolutional Neural Network + Transformer
Network Architecture: Conformer Encoder with CTC Decoder

Input

Input Type(s): Audio in Spanish
Input Format(s): Linear PCM 16-bit 1 channel

Output

Output Type(s): Text String in Text String in Spanish

Software Integration

Supported Operating System(s):

• Linux
  

Model Version

• Conformer-CTC-L_spe256_es-US_3.1
  

Inference

Engine: Triton
Test Hardware:

• NVIDIA A10
  
• NVIDIA A100
  
• NVIDIA A30
  
• NVIDIA H100
  
• NVIDIA Jetson Orin
  
• NVIDIA L4
  
• NVIDIA L40
  
• NVIDIA Turing T4
  
• NVIDIA Volta V100
  

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GOVERNING TERMS:

This trial is governed by the NVIDIA API Trial Terms of Service (found at https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). The use of this model is governed by the AI Foundation Models Community License Agreement (found at NVIDIA Agreements | Enterprise Software | NVIDIA AI Foundation Models Community License Agreement).