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parakeet-ctc-0.6b-vi

Downloadable

Accurate and optimized Vietnamese-English transcriptions with punctuation and word timestamps.

ASRNVIDIA NIMStreamingVietnameseSpeech-to-Text
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API ReferenceAPI Reference
Accelerated by DGX Cloud

Model Overview

RIVA Parakeet-CTC-0.6B-Unified ASR Vietnamese (around 600M parameters) [1] is trained on an ASR dataset with over 4,000 hours of Vietnamese (vi) speech. The model transcribes speech in Vietnamese, in upper case and lower case alphabets, along with punctuations (period, comma, and question mark), and spaces.

This model is ready for commercial/non-commercial use.

Terms of use

GOVERNING TERMS: Use of this model is governed by the NVIDIA Community Model License Agreement.

References

  • Fast 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-0.6B

Input

Input Type(s): Audio in Vietnamese + English
Input Format(s): Linear PCM 16-bit 1 channel
Input Parameters: One-Dimensional (1D)

Output

Output Type(s): Text String in Vietnamese + English with Timestamps
Output Format(s): String Output Parameters: One-Dimensional (1D)

Supported Operating System(s):

  • Linux

Inference

Engine: Triton
Test Hardware:

  • NVIDIA A2
  • NVIDIA A10
  • NVIDIA A16
  • NVIDIA A30
  • NVIDIA A40
  • NVIDIA A100
  • NVIDIA H100
  • NVIDIA L4
  • NVIDIA L40
  • GeForce RTX 40xx
  • GeForce RTX 50xx
  • Blackwell RTX 60xx

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.