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.

License/Terms of Use

GOVERNING TERMS: The use of this model is governed by the NVIDIA Community Model License (found at https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-community-models-license/).

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
  

Ethical Considerations (For NVIDIA Models Only):

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns here.