Model Overview

Parakeet-CTC-XL-0.6B (around 600M parameters) is trained on ASRSet with over 35000 hours of English (en-US) speech. The model transcribes speech in lower case English alphabet along with spaces and apostrophes.

Description

Parakeet transcribes audio into text, using spaces and apostrophes where needed

Terms of use

By using this software or microservice, you are agreeing to the terms and conditions of the license and acceptable use policy.

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
• Fast-Conformer-CTC Model
• Conformer

Model Architecture

Architecture Type: Parakeet-CTC (also known as FastConformer-CTC), which is an optimized version of Conformer model with 8x depthwise-separable convolutional downsampling with CTC loss
Network Architecture: Parakeet-CTC-XL-0.6B

Input

Input Type(s): Audio in English
Input Format(s): Linear PCM 16-bit 1 channel
Other Properties Related to Input: Maximum Length in seconds specific to GPU Memory, No Pre-Processing Needed, Mono channel is required

Output

Output Type(s): Text String in English with Timestamps
Output Parameters: 1-Dimension
Other Properties Related to Output: No Maximum Character Length, Does not handle special characters

Software Integration

Runtime Engine(s):

• Riva 2.15.0 or Higher
  

Supported Operating System(s):

• Linux
  

Model Version

Parakeet-0.6b-ctc-en-us-asr-set-6.0

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.

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).