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  1. Stackups
  2. AI
  3. Voice & Audio Models
  4. Speech Recognition Models
  5. Bark vs Stable Audio

Bark vs Stable Audio

OverviewComparisonAlternatives

Overview

Bark
Bark
Stacks0
Followers1
Votes0
GitHub Stars38.7K
Forks4.7K
Stable Audio
Stable Audio
Stacks1
Followers3
Votes0

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CLI (Node.js)
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Detailed Comparison

Bark
Bark
Stable Audio
Stable Audio

It is a transformer-based text-to-audio model. It can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects.

It is Stability AI’s first product for music and sound effect generation. Users can create original audio by entering a text prompt and a duration, generating audio in high-quality, 44.1 kHz stereo.

Supports various languages out-of-the-box; Can generate all types of audio
Create original audio by entering a text prompt and a duration; High-quality audio generation; Uses a latent diffusion for audio model
Statistics
GitHub Stars
38.7K
GitHub Stars
-
GitHub Forks
4.7K
GitHub Forks
-
Stacks
0
Stacks
1
Followers
1
Followers
3
Votes
0
Votes
0
Integrations
PyTorch
PyTorch
Python
Python
CUDA
CUDA
No integrations available

What are some alternatives to Bark, Stable Audio?

Whisper

Whisper

It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

MetaVoice-1B

MetaVoice-1B

It is a 1.2B parameter base model trained on 100K hours of speech for TTS (text-to-speech). It empowers developers and businesses to better connect with their audiences at scale.

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