mhubert-base
| Property | Value |
|---|---|
| Author | voidful |
| Model Type | Speech-to-Speech Translation |
| Framework | HuBERT |
| Codebook Size | 1000 units |
| Source | Converted from textless S2ST real data |
What is mhubert-base?
mhubert-base is a specialized speech processing model built on the HuBERT architecture, designed for multilingual speech-to-speech translation tasks. The model operates by converting audio input into discrete speech units, specifically using a codebook of 1000 units at layer 11 of the architecture.
Implementation Details
The model implementation requires the asrp library (version 0.0.35) and operates in two main stages: encoding audio into discrete codes and generating speech from these codes. It utilizes a HiFiGAN vocoder for speech synthesis and supports multiple language pairs including English, Spanish, French, and Italian.
- Processes audio through 11 transformer layers
- Uses a 1000-unit codebook for discrete representation
- Implements HiFiGAN vocoder for speech synthesis
- Supports end-token handling (token 999)
Core Capabilities
- Speech-to-speech translation across multiple languages
- Discrete unit extraction from audio input
- High-quality speech synthesis
- Real-time audio processing
Frequently Asked Questions
Q: What makes this model unique?
The model's uniqueness lies in its ability to process multilingual speech using discrete units, making it particularly effective for speech-to-speech translation tasks while maintaining high-quality audio output through its HiFiGAN vocoder integration.
Q: What are the recommended use cases?
The model is best suited for applications requiring multilingual speech translation, audio processing tasks, and scenarios where high-quality speech synthesis is needed. It's particularly effective for English, Spanish, French, and Italian language pairs.
